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dil_bert

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Posts posted by dil_bert

  1. dear community

     

    with the following request via overpass-turbo.eu  i have some issues


    only the last expression works - in other words only the very last expression will be performed : 
    all the others are ignored

     

    	    [out:csv(::id,::type,::lon,::lat,amenity,name,"addr:postcode","addr:city","addr:street","addr:housenumber","contact:website",website,"contact:email")]
        [timeout:600];
        rel[boundary=administrative][admin_level=6][name="München"] -> .city;
        (nwr[amenity=hospital][name](around.city:2000);
        nwr[amenity=school][name](around.city:2000););
        nwr[amenity=childcare][name](around.city:2000);
        nwr[amenity=kindergarten][name](around.city:2000);
        nwr[amenity=nursing_home][name](around.city:2000);
        nwr[amenity=college][name](around.city:2000);
        
        out center;
    	

    in fact: only this term will be executed: 

        nwr[amenity=college][name](around.city:2000);


    this is given back: 

        
        @id    @type    @lon    @lat    amenity    name    addr:postcode    addr:city    addr:street    addr:housenumber    contact:website    website    contact:email
        2354666181    node    11.5557656    48.1274889    college    EAM-Europa Akademie München - School Of International Business    80337    München    Adlzreiterstraße    6            
        3324407853    node    11.5551400    48.1264588    college    Akademie Deutsche POP    80337    München    Adlzreiterstraße    18a       http://www.deutsche-pop.de/standort/muenchen  
        3324407854    node    11.5713030    48.1285751    college    Akademie Deutsche POP    80469    München    Klenzestraße    67       http://www.deutsche-pop.de/standort/muenchen  
        4379246720    node    11.5629942    48.1469822    college    Hochschule für Politik München    80333    München    Richard-Wagner-Straße    1            
        4448465264    node    11.4461165    48.1488143    college    DEKRA Akademie GmbH                       https://www.dekra-akademie.de/de/muenchen/  
        4984543723    node    11.5998193    48.1353510    college    Münchner Volkshochschule – Einstein 28    81675    München    Einsteinstraße    28       https://www.mvhs.de/ueber-uns/standorte/gasteig-einstein-28-stadtbereich-mitte/  
        5542020160    node    11.6368555    48.0790856    college    Fakultät für Betriebswirtschaftf                            
        5542020161    node    11.6348063    48.0806016    college    Fakultät für Betriebswirtschaft                            
        5542020162    node    11.6336959    48.0810352    college    Fakultät für Betriebswirtschaft                            
        18940172    way    11.4648639    48.1127381    college    Haus A Genzentrum der LMU und Institut für Biochemie    81377    München    Feodor-Lynen-Straße    25       https://www.genzentrum.lmu.de/  
        19329687    way    11.5817581    48.1500346    college    Herzogliches Georgianum    80539    München    Professor-Huber-Platz    1       http://www.herzoglichesgeorgianum.de/Herzogliches_Georgianum/Home.html  
        27959435    way    11.5929977    48.1424114    college    Bayerische EliteAkademie    80538    München    Prinzregentenstraße    7       http://www.eliteakademie.de  
        44615795    way    11.5806579    48.1550310    college    Priesterseminar St. Johannes der Täufer                   http://www.priesterseminar-muenchen.de/      
        166433609    way    11.5888108    48.1304498    college    Collegium Carolinum                            
        867729755    way    11.6027411    48.1324959    college    Katholische Stiftungshochschule München                       https://www.ksh-muenchen.de
    	

     

    well i wonder - there must be missin something in the request

  2. at the first glance all that ideas look very interesting. - many many thanks. 

    i found some ideas to do  the job - also like so: 

     

     

    [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
    rel[boundary=administrative][admin_level=6][name="München"] -> .city;
    (nwr[amenity=hospital](around.city:2000);
    nwr[amenity=school](around.city:2000);)/>;
    out center;

    see the output

     

    @id    @type    @lon    @lat    name    addr:postcode    addr:city    addr:street    addr:housenumber    contact:website     contact:email=*
    60234799    node    11.5618175    48.1322485    Medizinische Klinik    80336    München    Ziemssenstraße    1        
    60235532    node    11.5605247    48.1310014    "Mund-, Kiefer-, Gesichtschirurgie"    80337    München    Lindwurmstraße    2a        
    60235905    node    11.5592053    48.1302821    Dr. von Haunersches Kinderspital    80337    München    Lindwurmstraße    4        
    60237053    node    11.5581961    48.1316760    Poliklinik Zahnärztliche Prothetik    80336    München    Goethestraße    70        
    60237068    node    11.5581921    48.1313295    Poliklinik Zahnerhaltung und Parodontologie    80336    München    Goethestraße    70        
    60237323    node    11.5581778    48.1309824    Poliklinik Kieferorthopädie    80336    München    Goethestraße    70        
    60347733    node    11.5919091    48.1313181    Münchner Volkshochschule                        
    199521374    node    11.3744767    48.1874144    Bernhard-Rößner-Grundschule Gröbenzell                        
    207230074    node    11.3616774    48.1785758    Grundschule am Gerner Platz    82178    Puchheim    Gerner Platz    2        
    207231287    node    11.3614999    48.1791463    Mittelschule Puchheim    82178    Puchheim    Lagerstraße    26        
    257005653    node    11.5685660    48.2073080    Balthasar-Neumann-Realschule                        
    269510209    node    11.4219190    48.1179807    Wolfartklinik    82166    Gräfelfing    Waldstraße    7        
    271226325    node    11.5619132    48.1409559    Medizinischer Bereitschaftsdienst            Prielmayerstraße    3        
    274617211    node    11.6000672    48.1343476    Schule zur Lernförderung    81675    München    Kirchenstraße    13        
    287819214    node    11.4237356    48.1353946    Förderschule und Heilpädagogische Tagesstätte    81249    München    Köferinger Straße    20        
    295434645    node    11.6410472    48.1924715    VHS Unterföhring    85774    Unterföhring    Münchner Straße    72        
    300673921    node    11.6390371    48.0907877    Volkshochschule München Perlach-Süd    81739    München    Max-Reinhardt-Weg    29        
    312793352    node    11.5815046    48.1322045    Schulverbund München    80469    München    Kohlstraße    5        
    332544444    node    11.5602074    48.1420984    Münchner Schmink und Kosmetikschule                        
    332617267    node    11.5649428    48.1347820    Isar Medizin Zentrum    80331    München    Sonnenstraße    24        
    338723406    node    11.4742575    48.2083018    Waldklassenzimmer                        
    342309527    node    11.5689469    48.2065680    Grundschule an der Hugo-Wolf-Straße                        
    358171049    node    11.3574259    48.1813010    Realschule Puchheim    82178    Puchheim    Bürgermeister-Ertl-Straße    9        
    439254427    node    11.5644958    48.1287555    Klinik Thalkirchner Straße    80337    München    Thalkirchner Straße    48        
    443898649    node    11.6623555    48.0769996    Volkshochschule                        
    539112865    node    11.6693667    48.2184675    Grundschule an der Camerloherstraße    85737    Ismaning    Camerloherstraße    20        
    618659788    node    11.5596871    48.1332364    Institut für Rechtsmedizin    80336    München    Nußbaumstraße    26        
    619332417    node    11.6639514    48.0764239    Musikschule Neubiberg                        
    656248222    node    11.5820112    48.1247064    Grundschule am Mariahilfplatz    81541    München    Mariahilfplatz    18    ... and so  forth and so forth..     
    


    mani.  as allways this forum is so greta: i love it. the ideas here very helpful.


    have a great day 

    greetings :bigsmile:/>

  3. at the first glance all that ideas look very interesting. . 

    i found some ideas to do  the job - also like so: 


    [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
    rel[boundary=administrative][admin_level=6][name="München"] -> .city;
    (nwr[amenity=hospital](around.city:2000);
    nwr[amenity=school](around.city:2000););
    out center;


    @id    @type    @lon    @lat    name    addr:postcode    addr:city    addr:street    addr:housenumber    contact:website     contact:email=*
    60234799    node    11.5618175    48.1322485    Medizinische Klinik    80336    München    Ziemssenstraße    1        
    60235532    node    11.5605247    48.1310014    "Mund-, Kiefer-, Gesichtschirurgie"    80337    München    Lindwurmstraße    2a        
    60235905    node    11.5592053    48.1302821    Dr. von Haunersches Kinderspital    80337    München    Lindwurmstraße    4        
    60237053    node    11.5581961    48.1316760    Poliklinik Zahnärztliche Prothetik    80336    München    Goethestraße    70        
    60237068    node    11.5581921    48.1313295    Poliklinik Zahnerhaltung und Parodontologie    80336    München    Goethestraße    70        
    60237323    node    11.5581778    48.1309824    Poliklinik Kieferorthopädie    80336    München    Goethestraße    70        
    60347733    node    11.5919091    48.1313181    Münchner Volkshochschule                        
    199521374    node    11.3744767    48.1874144    Bernhard-Rößner-Grundschule Gröbenzell                        
    207230074    node    11.3616774    48.1785758    Grundschule am Gerner Platz    82178    Puchheim    Gerner Platz    2        
    207231287    node    11.3614999    48.1791463    Mittelschule Puchheim    82178    Puchheim    Lagerstraße    26        
    257005653    node    11.5685660    48.2073080    Balthasar-Neumann-Realschule                        
    269510209    node    11.4219190    48.1179807    Wolfartklinik    82166    Gräfelfing    Waldstraße    7        
    271226325    node    11.5619132    48.1409559    Medizinischer Bereitschaftsdienst            Prielmayerstraße    3        
    274617211    node    11.6000672    48.1343476    Schule zur Lernförderung    81675    München    Kirchenstraße    13        
    287819214    node    11.4237356    48.1353946    Förderschule und Heilpädagogische Tagesstätte    81249    München    Köferinger Straße    20        
    295434645    node    11.6410472    48.1924715    VHS Unterföhring    85774    Unterföhring    Münchner Straße    72        
    300673921    node    11.6390371    48.0907877    Volkshochschule München Perlach-Süd    81739    München    Max-Reinhardt-Weg    29        
    312793352    node    11.5815046    48.1322045    Schulverbund München    80469    München    Kohlstraße    5        
    332544444    node    11.5602074    48.1420984    Münchner Schmink und Kosmetikschule                        
    332617267    node    11.5649428    48.1347820    Isar Medizin Zentrum    80331    München    Sonnenstraße    24        
    338723406    node    11.4742575    48.2083018    Waldklassenzimmer                        
    342309527    node    11.5689469    48.2065680    Grundschule an der Hugo-Wolf-Straße                        
    358171049    node    11.3574259    48.1813010    Realschule Puchheim    82178    Puchheim    Bürgermeister-Ertl-Straße    9        
    439254427    node    11.5644958    48.1287555    Klinik Thalkirchner Straße    80337    München    Thalkirchner Straße    48        
    443898649    node    11.6623555    48.0769996    Volkshochschule                        
    539112865    node    11.6693667    48.2184675    Grundschule an der Camerloherstraße    85737    Ismaning    Camerloherstraße    20        
    618659788    node    11.5596871    48.1332364    Institut für Rechtsmedizin    80336    München    Nußbaumstraße    26        
    619332417    node    11.6639514    48.0764239    Musikschule Neubiberg                        
    656248222    node    11.5820112    48.1247064    Grundschule am Mariahilfplatz    81541    München    Mariahilfplatz    18    ... and so  forth and so forth..     
    


    many many thanks   you guy that you run this forum here

    .  as allways it is so helpful and i get many many ideas out of this forum 

     

    thoughts are very helpful


    have a great day 

    greetings  :bigsmile: 


  4. hope youre all right and everything goes well at your hometown. Hope youre well!!


    first of all - merry christmas. 

    the question of today:  multiple nearby Location by coordinates: finding multiple nearby POIs from current location in OpenStreetMap

    we can use Overpass API to search for nearby POIs. We can perform queries against Overpass API and display them as overlays on an OSM map: The question is: Is there any API for OpenStreetMap which allows me to obtain a list of (multiple) POIs within a certain distance (e.g. 50 kilometers) from a reference location: we take for example schools and hospitals.

    what is wanted: I want to query openstreetmaps api for amenitys near a specified city - lets Say München (/Munich) which is part of Bavaria (Bayern) in Germany. I want to find all hospitals and schools near Munich (München), within a radius of 50 km. 

    some basics: The openstreetmaps API Documentation doesn't say some thing that might help here: 

       

    [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
        area[name="Münschen"];
        nwr(around:10000)["amenity"="hospital"];
        nwr(around:10000)["amenity"="school"];
        
        out center;
    

    but this does not work - unfortunatly: 

    For this kind of request, we generally are working with Overpass API ( https://wiki.openstreetmap.org/wiki/Overpass_API ), which is a read-only API that's designed for such queries (unlike the main OSM API, also known as Editing API, which is mostly useful for contributing to OSM).

    Overpass API supports an great and very very helpful around filter ( https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL#Relative_to_other_elements_.28around.29 )

    our example – hospitals in a 50 km radius around Munich – might look like this. 

    (This is a link to Overpass Turbo, which is a frontend that lets helps with building and testing Overpass API queries. Note that the Geocoding in the example is a convenience feature of Overpass Turbo. For regular Overpass API queries, we'll need to provide either the coordinates or OSM element(s) we want to filter around.)

    for our example- we take München:

        (
          node["amenity"="hospital"](around:50000,{{geocodeCoords:München}});
          way["amenity"="hospital"](around:50000,{{geocodeCoords:München}});
          relation["amenity"="hospital"](around:50000,{{geocodeCoords:München}});
        );
        out;
        >;
        out;
    

    but why does this not work: 

        [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
        area[name="Münschen"];
        nwr(around:10000)["amenity"="hospital"];
        nwr(around:10000)["amenity"="school"];
        
        out center;
    


    - well how to retrieve the data: how to retrieve the data out of a nearby search - with  two entities - shools and hospitals.  

    To build a query, we need to know which OpenStreetMap tags correspond to the feature types were actually interested in. The OpenStreetMap wiki provides documentation for most commonly used tags, e.g. amenity=hospital in this example. And yes: besides hospital, we use schools as a second tag. We can use Overpass API to search for nearby POIs. And yes - guess that we need to perform queries against Overpass API and display them as overlays on an OSM map.


    Overpass API supports an around filter( https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL#Relative_to_other_elements_.28around.29 )

    The around filter selects all elements within a certain radius around the elements in the input set. If you provide coordinates, then these coordinates are used instead of the input set. The input set can be changed with an adapted prefix notation. As for all filters, the result set is specified by the whole statement, not the individual filter. A radius of 0 can be used for a way intersection test on outer/inner points. Syntax: It consists of an opening parenthesis. Then follows the keyword around. Then follows optionally an input set declaration. Then follows a single floating point number that denotes the radius in meters. The filter either ends with a closing parenthesis or is followed by two comma separated floating point numbers indicating latitude and longitude and then finally a closing parenthesis.

    amenity=hospital is used for hospitals
    https://wiki.openstreetmap.org/wiki/Tag:amenity%3Dhospital: amenity=hospital is used for hospitals, i.e. institutions for health care providing treatment by specialised staff and equipment, and typically providing nursing care for longer-term patient stays. In contrast, a medical centre with doctors for outpatient care only should be tagged amenity=clinic, and an individual doctor's office as amenity=doctors.


    the question:- well how to retrieve the data: how to retrieve the data out of a nearby search - with  two entities - shools and hospitals.

  5. good day dear Community


    i am looking for a voloco-altrernative that runs on linux-pc as well. 

    is there any !? 

    i need a real-time voice-processing app : one that combines automatic tuning and vocoding and lots of other stuff more. 
    well i am currently looking for an free alternative - one that runs on linux as well. 

    i need a virtual studio rack with all tools and instruments that supports us to turn our ideas to create some music.
    Well - we need a set of excellent synths and.
    How to an auto-tune effect. We want to correct the pitch of a vocal, or, with some cool settings

    Is there any piece of code - similar to Voloco - that runs on Linux?!


  6. good day dear community, 

    i wanna add the Visual Dashboard (desktop) of the Covid 19 info of John Hopkins University with iframe


    see: the info https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    and here: 

    COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University: https://github.com/CSSEGISandData/COVID-19
    the Repository on Github.

    Embed our dashboard into the webpage: - see the infos on the page: 
    https://github.com/CSSEGISandData/COVID-19
    the Repository on Github.
    `

    <style>.embed-container {position: relative; padding-bottom: 80%; height: 0; max-width: 100%;} .embed-container iframe, .embed-container object, .embed-container iframe{position: absolute; top: 0; left: 0; width: 100%; height: 100%;} small{position: absolute; z-index: 40; bottom: 0; margin-bottom: -15px;}</style><div class="embed-container"><iframe width="500" height="400" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" title="COVID-19" src="https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6"></iframe></div>
    `


    see here: https://github.com/CSSEGISandData/COVID-19
    the Repository on Github.

    question: can i add this iframe-code on the theme twenty-twenty - without any issues - is this doable!? Love to hear from you

  7. hi there good day 


    today i have a special question: - fresh install of limesurvey - within a wordpress with : Unstable Release 4.3.27 (from 17.11.2020)

    see the following things: 
    on a wordpress - see the structure: 


    https://www.mypage.de
    wordpress-files: 3750 

    and here the limesurvey - files are stored.
    https://www.mypage.de/umfrage/

    permisson of the umfrage folder: 
    limesurvey-files: 750 


    well - i get back when i try to acess the admin-page: 
    https://www.mypage.de/umfrage/admin


    i will get this page: https://www.mypage.de/umfrage/index.php?r=admin


    Internal Server Error
    Application runtime path "/sites/www.mypage.de/umfrage/tmp/runtime" is not valid. Please make sure it is a directory writable by the Web server process.
    An internal error occurred while the Web server was processing your request. Please contact the webmaster to report this problem.
    Thank you.


    well i do not know if the permission are enough!? 
    do i need to have some kind of htaccess or something alike


    love to hear from you

  8. Hello dear Community, 

     

    about the install and using Python packages ::: difference between venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, pipenv, etc?

     

    here some musings about how to install and using Python packages - approach - and subsequently - some questions: 


    first we give an overview:


    at the preliminary steps:

    - virtualenv and venv: whats it good for and how to decide - a little overview:
    - how to install, activate /deactivate and use the necessary Python tools and manage all that…

    to start with the begining: some preliminary words:

    Installing packages using pip and virtual environments


    How to create a Python Virtual Environment: 
    It is often useful to have one or more Python environments on the machine - where we can experiment with different combinations of packages without affecting our main installation on the machine.

    Thanks to the Python Virtual Environments - we re lucky. Python supports this through virtual environments. The virtual environment is a copy of an existing version of Python with the option to inherit existing packages.
    A virtual environment is also useful when we need to work on a shared system and do not have permission to install packages as we will be able to install them in the virtual environment.


    since Python is used for many different purposes, and precisely how we want to manage our dependencies - it seems to be important for the development-process and for anyone who wants to have a well suited machine to manage development and testing environments for any kind of project.

    well - at first glance we can say: how to setup a venv inside of the project directory. The reasons are:

    1. It helps to make collaboration easier (we can just add the venv directory to our .gitignore, and anyone who pulls down the project can generate their own)
    2. we then are able to replace/recreate the virtual environment without disturbing the related project files
    3. The virtual environment is directly co-located with our project, which feels like a cleaner and easier to understand implementation to me for a beginner


    Note: Well it is recommended to use at least python 3.7 because using the venv module to create virtual environments is recommended with python 3.7 and later. We can create a simple, lightweight, project virtual environment with python 3.3 and later using the venv module. First change to our project directory, then run the command shown:

    cd ~/projects/my-python
    python3 -m venv venv
    

     

    This will create a subdirectory in

     ~/projects/my-python named venv. So we just have to give this directory  the name "venv".


    It is a common convention to call the virtual environment directory "venv" when created as a subdirectory of a project. We can learn more about what is in this venv directory on our own, but what we need to know for now is that it will be where any dependencies for our project are installed, and it will be used to set path variables used by python when it is activated that allow our application to run with those dependencies. At any time, we can just remove this venv directory and recreate it, using the steps shown in the following. Remember that if we do so, we will have to reinstall any dependencies with pip install after recreating and activating the venv. We’ll look at the process of activating and deactivating a virtual environment to use it next.
     

     

    here the question: What is the difference between venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, pipenv, etc?

    well to be frank, i guess that it would be the best to decice what are the actual needs: that said - i guess that this question
    it depends on the situation.

    what are the pros and cons putting the virtual environment
     

    but what is the main difference between venv, pyvenv, pyenv, virtualenv, virtualenvwrapper, pipenv, etc?

  9.  

    dear friends,


    can we run this osm-command in wordpress and then show the results in 

    a. a table and furthermore  
    b. a map

    see here the code that retrieves data - POI-data:
    `

     

    [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
    
    nwr(around:10000,52.519664588, 13.407998368)["amenity"="hospital"];
    out center;
    /* more areas..*/
    nwr(around:10000,52.519664588, 13.407998368)["amenity"="schools"];
    out center;
    nwr(around:10000,52.519664588, 13.407998368)["amenity"="childcare"];
    out center;`


    now i want to display this in wordprees - in a table


    `

    
    @id    @type    @lon    @lat    name    addr:postcode    addr:city    addr:street    addr:housenumber    contact:website     contact:email=*
    775745348    node    13.3640559    52.5037269    Evangelische Elisabeth Klinik    10785    Berlin    Lützowstraße    24-26        
    1257340412    node    13.3717015    52.4778100    Klinik für Kinder- und Jugendmedizin                        
    4610129    way    13.3703633    52.5554121    Jüdisches Krankenhaus Berlin    13347    Berlin    Heinz-Galinski-Straße    1        
    4637750    way    13.3752301    52.5573670    DRK Kliniken Berlin | Mitte                        
    4750929    way    13.3428630    52.5421508    Charité Campus Virchow Klinikum                        
    24054786    way    13.3967186    52.5260055    St. Hedwig-Krankenhaus    10115    Berlin    Große Hamburger Straße    5-11    http://www.alexianer-berlin-hedwigkliniken.de/st_hedwig_krankenhaus    
    24931203    way    13.3713474    52.5356575    Bundeswehrkrankenhaus Berlin    10115    Berlin    Scharnhorststraße    13        
    32424425    way    13.3465511    52.4620791    Auguste-Viktoria-Klinikum    12157    Berlin    Rubensstraße    125        
    41447057    way    13.4297195    52.5406155    "Vivantes Klinikum im Friedrichshain, Standort Prenzlauer Berg"            Fröbelstraße    15        
    46839073    way    13.4954295    52.5133024    Sana Klinikum Lichtenberg    10365    Berlin    Fanningerstraße    32    https://www.sana-kl.de/    
    48992251    way    13.3902674    52.4590154    Vivantes Wenckebach-Klinikum    12099    Berlin    Wenckebachstraße    23        
    49876720    way    13.5095722    52.5280791    Evangelisches Krankenhaus Königin Elisabeth Herzberge    10365    Berlin    Herzbergstraße    79    https://www.keh-berlin.de/    
    53038853    way    13.2772940    52.5202588    DRK Kliniken Westend    14050    Berlin    Spandauer Damm    130        
    93478285    way    13.2814545    52.4792516    Klinik am Roseneck                        
    99146927    way    13.4141205    52.5709842    Maria Heimsuchung Caritas Klinikum Pankow                        
    114201147    way    13.2897238    52.5222616    Schlosspark-Klinik    14059    Berlin    Heubnerweg    2    http://www.schlosspark-klinik.de    
    119398219    way    13.3172076    52.4803471    Sankt Gertrauden-Krankenhaus    10713    Berlin    Paretzer Straße    12    http://www.sankt-gertrauden.de    
    132056990    way    13.2918016    52.4904830    Martin-Luther-Krankenhaus    14193    Berlin    Caspar-Theyß-Straße    27-31    http://www.pgdiakonie.de/martin-luther-krankenhaus    
    137033906    way    13.3637902    52.5545152    Evangelisches Geriatriezentrum Berlin    13347    Berlin    Reinickendorfer Straße    61        
    138144499    way    13.4578379    52.4343190    Ida-Wolff-Krankenhaus    12351    Berlin    Juchaczweg    21        
    138150297    way    13.4589236    52.4372389    Vivantes Klinikum - Neukölln    12351    Berlin    Rudower Straße    48        
    168967363    way    13.3729563    52.4781040    St. Joseph Krankenhaus    12101    Berlin    Wüsthoffstraße    15        
    229099728    way    13.3297666    52.4896219    Friedrich von Bodelschwingh-Klinik                        
    305989452    way    13.4085942    52.4939881    Vivantes Klinikum am Urban    10967    Berlin    Dieffenbachstraße    1    http://www.vivantes.de/kau    
    326445437    way    13.3283008    52.5830005    Krankenhaus des Maßregelvollzugs Berlin (KMV)    13403    Berlin    Olbendorfer Weg    70        
    326448280    way    13.3274384    52.5812119    Vivantes Humboldt-Klinikum - Standort Oranienburger Straße    13437    Berlin    Oranienburger Straße    285        
    378933899    way    13.4507369    52.5554951    Park Klinik Weißensee                        
    391245035    way    13.3878055    52.5350773    Lazarus-Kranken- und Diakonissenhaus                        
    567540939    way    13.4691308    52.5505504    Alexianer St. Joseph Krankenhaus Berlin-Weißensee                        
    583306346    way    13.3778632    52.5257624    Charité Universitätsmedizin Berlin                        
    700483283    way    13.4394766    52.5255323    Klinikum im Friedrichshain    10249    Berlin    Landsberger Allee    49    https://www.vivantes.de/fuer-sie-vor-ort/klinikum-im-friedrichshain-landsberger-allee/    
    7715945    relation    13.3452165    52.5060328    Franziskus-Krankenhaus Berlin    10787    Berlin    Budapester Straße    15-19    http://www.franziskus-berlin.de    
    268915924    node    13.4471204    52.4737847    EKT - Puck e.V.    12055    Berlin    Zwiestädter Straße    2        
    268915972    node    13.3388371    52.4715779    Kinderladen Trotzköpfchen    12159    Berlin    Hedwigstraße    12        
    268916030    node    13.4337990    52.4834020    Kinderladen Yong (EKT)    12043    Berlin    Donaustraße    114        
    268916196    node    13.4264393    52.5348260    Ev. Kita Winsstraße    10405    Berlin    Winsstraße    24        
    268917015    node    13.4491094    52.4751110    Kita Böhmische Straße            Böhmische Straße    39        
    475325547    node    13.4340584    52.4608843    "Sprache verbindet e. V., Kita Kinderplaneten"    12347    Berlin    Germaniapromenade    8        
    489927889    node    13.3252488    52.5146307    Kita an der Technischen Universität Berlin    10587    Berlin    Marchstraße    8        
    832835232    node    13.3659264    52.5536160    Umpa Lumpa    13347    Berlin    Reinickendorfer Straße    63        
    2285961891    node    13.3791987    52.4595639    Kita Tiponi II    12103    Berlin    Friedrich-Franz-Straße    39        
    2285962149    node    13.3822392    52.4569827    Kindergarten Krabbelkäfer    12103    Berlin    Burgemeisterstraße    76        
    2641528075    node    13.4116452    52.5879864    Pankower Nest    13156    Berlin    Beuthstraße    27 B        
    2821286100    node    13.4476531    52.4379625    Kita Erdmännchen I    12359    Berlin    Fritz-Reuter-Allee    173        
    2952352723    node    13.3583103    52.5737444    Kita Luftballon    13407    Berlin    Lindauer Allee    4        
    2952353394    node    13.3569877    52.5680837    Kita Die kleinen Füchse    13407    Berlin    Genfer Straße    33        
    3213713658    node    13.4242216    52.5175592    Kinderhaus Berlin-Mitte    10179    Berlin    Neue Blumenstraße    22        
    3310059976    node    13.5175499    52.5704222    Leos Hütte    13059    Berlin    Grevesmühlener Straße    43        
    3602681045    node    13.4801226    52.5058318    Fine Turbine                        
    4095932189    node    13.3568407    52.5524769    Kita Plapperfisch    13347    Berlin    Seestraße    62        
    4139409989    node    13.3779418    52.5575415    Wir werden immer größer    13359    Berlin    Koloniestraße    139        
    4223494992    node    13.4479672    52.5129132    Kita Playground    10243        Gubener Straße    51        
    4223507993    node    13.4511780    52.5125605    Kita Junior 1    10245        Grünberger Straße    26        
    4251827103    node    13.4627077    52.5179660    Kita Rumpelbande                        
    4749562022    node    13.4262291    52.5697721    Kinderladen Sterntaler                        
    4920611563    node    13.4967466    52.5089424    Kita Vitale Großstadtmäuse III    10317    Berlin    Eitelstraße    85        
    5233009250    node    13.3552120    52.5744560    Kita Kinderinsel Alt-Reinickendorf                        
    5239562224    node    13.4615017    52.5187000    Kita Salabanda 24    10247    Berlin    Bänschstraße    24        
    5407416269    node    13.3719986    52.4857096    Lok18                        
    5436064207    node    13.4013844    52.5884009    Kindertagesstätte Melodiekiste    13156    Berlin    Dietzgenstraße    79        
    5983770228    node    13.4392656    52.4782552    Mosaikraupen                        
    6111118987    node    13.4088191    52.5718191    Kita Pankepiraten    13187    Berlin    Ossietzkystraße    6-8        
    6115240482    node    13.4137913    52.4888335    Kinder Werk Stadt    10967    Berlin    Fichtestraße    19A        
    6123191672    node    13.3899883    52.5233753    "Kita an der Humboldt-Universität ""Die Lupe"""    10117    Berlin    Ziegelstraße    5-9        
    6789165007    node    13.3715712    52.4898058    Kita am Gleis    10829    Berlin    Bautzener Straße    21        
    7095755744    node    13.4321168    52.5342616    Kita Schnick & Schnack    10407    Berlin    Pasteurstraße    5        
    7683113440    node    13.4395800    52.4732269    Kita Paradiesvögel                        
    7746191694    node    13.3655333    52.5835082    Pankebären                        
    7746191886    node    13.3612696    52.5877593    Wilhelmsruher Kinder                        
    7803708935    node    13.4275382    52.4636108                            
    7803708937    node    13.4246786    52.4639442                            
    29011904    way    13.3353154    52.5155285    Kita an der UdK und TU Berlin    10555    Berlin    Siegmunds Hof    17A        
    280344963    way    13.3360976    52.5254005    Spielplatz Ottopark    10555    Berlin    Alt-Moabit    34    http://moabiter-ratschlag.de/otto-spielplatz/    `

    love to hear from you 

  10.  

    .... here an example for an  Overpass-API -request :: see the Hospitals in 10 Km  distance to berlin - alexanderplatz .

     

     

    also:  Berliner Aleanderplatz:

    DD COORDINATES; 52.519664588 13.407998368 DMS COORDINATES; 52°31'10.79" N 13°24'28.79" E
    	

     

    see the  dataset: 

    	[out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
    	nwr(around:10000,52.519664588 13.407998368)["amenity"="hospital"];
    	out center;
    	

     

     

    	@id @type @lon @lat name addr:postcode addr:city addr:street addr:housenumber contact:website contact:email=*
    	775745348 node 13.3640559 52.5037269 Evangelische Elisabeth Klinik 10785 Berlin Lützowstraße 24-26
    	1257340412 node 13.3717015 52.4778100 Klinik für Kinder- und Jugendmedizin
    	4610129 way 13.3703633 52.5554121 Jüdisches Krankenhaus Berlin 13347 Berlin Heinz-Galinski-Straße 1
    	4637750 way 13.3752301 52.5573670 DRK Kliniken Berlin | Mitte
    	4750929 way 13.3428630 52.5421508 Charité Campus Virchow Klinikum
    	24054786 way 13.3967186 52.5260055 St. Hedwig-Krankenhaus 10115 Berlin Große Hamburger Straße 5-11 http://www.alexianer-berlin-hedwigkliniken.de/st_hedwig_krankenhaus
    	24931203 way 13.3713474 52.5356575 Bundeswehrkrankenhaus Berlin 10115 Berlin Scharnhorststraße 13
    	32424425 way 13.3465511 52.4620791 Auguste-Viktoria-Klinikum 12157 Berlin Rubensstraße 125
    	41447057 way 13.4297195 52.5406155 "Vivantes Klinikum im Friedrichshain, Standort Prenzlauer Berg" Fröbelstraße 15
    	46839073 way 13.4954295 52.5133024 Sana Klinikum Lichtenberg 10365 Berlin Fanningerstraße 32 https://www.sana-kl.de/
    	48992251 way 13.3902674 52.4590154 Vivantes Wenckebach-Klinikum 12099 Berlin Wenckebachstraße 23
    	49876720 way 13.5095722 52.5280791 Evangelisches Krankenhaus Königin Elisabeth Herzberge 10365 Berlin Herzbergstraße 79 https://www.keh-berlin.de/
    	53038853 way 13.2772940 52.5202588 DRK Kliniken Westend 14050 Berlin Spandauer Damm 130
    	93478285 way 13.2814545 52.4792516 Klinik am Roseneck
    	99146927 way 13.4141205 52.5709842 Maria Heimsuchung Caritas Klinikum Pankow
    	114201147 way 13.2897238 52.5222616 Schlosspark-Klinik 14059 Berlin Heubnerweg 2 http://www.schlosspark-klinik.de
    	119398219 way 13.3172076 52.4803471 Sankt Gertrauden-Krankenhaus 10713 Berlin Paretzer Straße 12 http://www.sankt-gertrauden.de
    	132056990 way 13.2918016 52.4904830 Martin-Luther-Krankenhaus 14193 Berlin Caspar-Theyß-Straße 27-31 http://www.pgdiakonie.de/martin-luther-krankenhaus
    	137033906 way 13.3637902 52.5545152 Evangelisches Geriatriezentrum Berlin 13347 Berlin Reinickendorfer Straße 61
    	138144499 way 13.4578379 52.4343190 Ida-Wolff-Krankenhaus 12351 Berlin Juchaczweg 21
    	138150297 way 13.4589236 52.4372389 Vivantes Klinikum - Neukölln 12351 Berlin Rudower Straße 48
    	168967363 way 13.3729563 52.4781040 St. Joseph Krankenhaus 12101 Berlin Wüsthoffstraße 15
    	229099728 way 13.3297666 52.4896219 Friedrich von Bodelschwingh-Klinik
    	305989452 way 13.4085942 52.4939881 Vivantes Klinikum am Urban 10967 Berlin Dieffenbachstraße 1 http://www.vivantes.de/kau
    	326445437 way 13.3283008 52.5830005 Krankenhaus des Maßregelvollzugs Berlin (KMV) 13403 Berlin Olbendorfer Weg 70
    	326448280 way 13.3274384 52.5812119 Vivantes Humboldt-Klinikum - Standort Oranienburger Straße 13437 Berlin Oranienburger Straße 285
    	378933899 way 13.4507369 52.5554951 Park Klinik Weißensee
    	391245035 way 13.3878055 52.5350773 Lazarus-Kranken- und Diakonissenhaus
    	567540939 way 13.4691308 52.5505504 Alexianer St. Joseph Krankenhaus Berlin-Weißensee
    	583306346 way 13.3778632 52.5257624 Charité Universitätsmedizin Berlin
    	700483283 way 13.4394766 52.5255323 Klinikum im Friedrichshain 10249 Berlin Landsberger Allee 49 https://www.vivantes.de/fuer-sie-vor-ort/klinikum-im-friedrichshain-landsberger-allee/
    	7715945 relation 13.3452165 52.5060328 Franziskus-Krankenhaus Berlin 10787 Berlin Budapester Straße 15-19 http://www.franziskus-berlin.de
    	

     

     

    and for the other datasets we could construct the requests simiiar

    but wait - i love to have a table solution - and no web-frontend where the visitor can run requests to the osm-endpoint. 

     

    i love the table-solution since you can browse the tables as well 

    see a Demo: https://tablepress.org/demo/

     

    love to hear from you again 

  11. by the way iin openstreetmap-solutions it is like so: 

    - to construct a query, that helps to get "hospitals" which is a special phrase according to this link

    Here's an example Overpass-API query that returns hospitals within a 10 Km radius of that location. 

    	[out:json][timeout:25];
    nwr(around:10000,40.40,-79.93)["amenity"="hospital"];
    out center;
    	

    by the way: we could also compute a bounding box from the coordinate and restrict the search to that area, 
    if that were more suitable for the certain goal.
     

  12. hello dear Barand 

     

    first of all - glad to hear from you - this is a thing that "attracts especially you" - i thougth - and yes: i am glad to get feedback from you"

     

    One big table with column indicating the type of data (1=hospital, 2=bakery, 3=pharmacy, 4=grocery etc) plus a second table to store those types and type numbers.

    very good idea - 

     

    well - it is a solution that could be done with openstreetmap instantly - it is a solution that delivers a distance Matrix to help users find nearby locations on an interactive ...in other words: a solution that - discover the nearest entity :: 

     

    So it is like this: I obtained the data via openstreetmap and saved it in a table - but of course I can also use MySQL or sqlite
    By the way: this should be used for a web application:

    so: if you have a point - so we take, for example, Berlin's Aleanderplatz:

    DD COORDINATES; 52.519664588 13.407998368
    DMS COORDINATES; 52 ° 31'10.79 "N 13 ° 24'28.79" E
     


    the above I could also query data relating to the tables directly via the Overpass API: https://wiki.openstreetmap.org/wiki/Overpass_API
    At first I thought to work without the OSM map display and only allow a tabular search. The query via Overpass-Api could be
    in my opinion yes also set up and implemented directly in the web frontent.

    so - let's say the tables are as follows:

    dataset_1_ Clinics / hospital (hosp)
    dataset_2_ Bakeries
    dataset_3_ Dairy Shops
    dataset_4_ Shoe stores
    dataset_5_ schools
    


    For now, however, I want to save the data locally (each data record has a unique ID) and, by the way, also keep the timestamp with it,
    at which the data record was last updated. If the timestamp is smaller than the last run then you know
    that the data record no longer exists and then I can either cancel it and no longer select it or delete it.

    Concerning. the representation in a map: the map could be operated via a WebGIS plugin (for example Leaflet),
    then load the data from Overpass from the local DB and integrate it separately as a marker on the map.

    to the implementation via query on the OSM endpoint: here you can also use Overpass - for querying POIs;

    Since homogenization is not possible due to the differences between the POIs, I save

    - the POI with its coordinates in a table (poiID, lat, lng).
    - I save the attributes in an extra table (poiID, attr_name, attr_val).

    with this I have mapped the data relationally, but can also query them nonrelationally if necessary and
    Transferred from the backend as JSON to the frontend. I can also search through the attribute values (attr_val) regardless of the field name.
    With the right indices, this works efficiently and without problems.


    ... so if I have 2 records ...

    - here for example related to "schools"

    once the school with lon, lat would look like so: 

    @id @type lon :, lat:
    268915924 node,
    name: max müller school
    

    or - you can also do it like this:


    The above would be the first record:

    {
      "version": 0.6,
      "generator": "Overpass API 0.7.56.6 474850e8",
      "osm3s": {
        "timestamp_osm_base": "2020-10-15T13:56:02Z",
        "copyright": "The data included in this document is from www.openstreetmap.org. The data is made available under ODbL."
      },
      "elements": [
    {
      "type": "node",
      "id": 268915924,
      "lat": 53.5955976,
      "lon": 9.9249389,
      "tags": {
        "amenity": "school",
        "name": "
    name   max müller Schule
    "
      }
    },
    {
      "type": "node",
      "id": 268915924   
      "lat": 53.6874870,
      "lon": 9.6838098,
      "tags": {
        "amenity": "school",
        "name": "Birkenallee-Schule"
      }
    },
    {
      "type": "node",
      "id": 268980540,
      "lat": 53.6927053,
      "lon": 9.9905466,
      "tags": {
         "amenity": "school",
        "name": "Gemeinschaftsschule Ossenmoorpark mit Außenstelle am Aurikelstieg",
       }
    },
    {
    

    And if I then ..... then also a data set with the following attributes:


    [/code]
    Surname
    School_ID
    type of school
    address
    place
    district
    district
    phone
    FAX
    legal form
    Internet
    E-mail
    is_rebbz
    FID
    [/code]


    - then I can work well with these two data sets. Because I then mapped the data relationally using the method mentioned above,
    And in addition, I can also query non-relationally if necessary: And yes: I can also read the data from the backend as JSON and then use it
     work. I can then search the DB for attribute values (attr_val) regardless of the field name.

    we can query the data via the Overpass API: https://wiki.openstreetmap.org/wiki/Overpass_API
    I would save them locally (each record has a unique ID) and keep the timestamp when the record was last updated. If the timestamp is smaller than the last run then you know that the data record no longer exists and you can either cancel it and no longer select it or delete it.
    I would run the map via a WebGIS plugin (I recommend Leaflet), then load the data from Overpass from your DB and integrate it separately as a marker on the map.

    What are the advantages of individual tables? If the distinction is only the categorization, you could simply work with filters and the like.


    here - in this case it has to be clarified what exactly speaks for individual tables?
    If the distinction is just the categorization, I could just work with filters and the like - me
    would then have to add one more attribute to the values ...


    .... so the

    dataset_1_ Clinics / hospital (hosp)
    dataset_2_ Bakeries
    dataset_3_ Dairy Shops
    dataset_4_ Shoe stores
    dataset_5_ schools
    

    I would just have to - if I put everything in a large table then carry the attribute category: clinic (hosp), bakery, milk or shoe shop, school
    I would also have to carry the exact geographic 

    @id            @type    @lon           @lat          name     addr:postcode                   addr:city    addr:street    addr:housenumber    contact:website     contact:email=*
    35332685    hosp    -43.9485880    -19.8175998    Hospital Risoleta Tolentino Neves        Belo Horizonte    Rua das Gabirobas    1       
    35332689    hosp    -43.9518360    -19.9178800    Prontocor                                Rio 
    53254282    hosp    -43.9319894    -19.9260406    Hospital Semper                          Rio
    75600076    hosp    -43.9590472    -19.9505820    Hospital Luxemburgo                      Rio     
    78719634    hosp    -43.9528392    -19.9239539    Hospital Vera Cruz                       Belo Horizonte    Avenida Barbacena    653  
    

    ..[...]....

    74400076    Backery   -43.9590472    -19.9455820    French Baguette                        Rio     
    72219634    School    -43.9590472    -19.8885820    Paulo Freire-School Rio                Rio     

    etc. etx. 


    well the find nearby solution - which is table based should look like so: 

     

                            +-------------------+
            +---------------+                   +---------------+
            |               |   search-form     |               |
            |               +--+--------------+-+               |
            |                  |              |                 |
    +-------+------+   +-------+----+   +-----+-------+   +-----+------+
    |              |   |            |   |             |   |            |
    |  dataset 1   |   | dataset 2  |   |  dataset 3  |   | dataset 4  |
    |              |   |            |   |             |   |            |
    |              |   |            |   |             |   |            |
    +--------------+   +------------+   +-------------+   +------------+
    	


    it seems to be a iterative nature of finding a better nearby solution forms this task-.
     

     

    conclusion: 

    well Barand - if we take the two attributes 

    a. type of entity: (POI) - bakery - grocery - hospital -  . etc. etc

    b, geo-position: lon  - lat 

     

     would we be able to do this table based solution - and find the nearest entity of all the types ... 

     

    look forward to hear from you 

    by the way: i remember that we once have had a similar question years ago...  . you gave me brilliant and very helpful answers there too... 

    how to find this thread!?`is there a solution in this forum - to find alll the threads where you and i were discussing things.!?  just another sql - task ... probably were able to solve even this one...

     

     

     

  13. dear Community


    i have got a collection of four datasets: 


    dataset 1; dataset 2; dataset 3; dataset 4

    dataset-1
    	+-----------+-------+------------+-------+--------+------------------+----+------------+-------+--------------+
    	|     id    | @type |    name    | plz   | city   |    addr:street   | hn |addr:email  |etc/etx| special-data |
    	+-----------+-------+--------------------+---------------------------+----+------------+-------+--------------+
    	| 268915924 | node  | clinic   1 | 12055 | Berlin | Zwiestädter Str. | 23 |=ZÄHLENWENN |       |              |
    	| 268915972 | node  | clinic   2 | 80004 | München| Hedwigstraße     | 53 |=ZÄHLENWENN |etc/etx| special-data |
    	| 268916030 | node  | clinic   3 | 70545 | Stgt   | Donaustraße      | 48 |=ZÄHLENWENN |       |              |  
    	| 268916196 | node  | clinic   4 | 20222 | Hamburg| Winsstraße       | 31 |            |       |              |
    	+-----------+-------+------------+-------+--------+------------------+----+------------+-------+--------------+
    	

    four datasets with about 500 to 700 records 


    the datasets are derived from germany - from a search on the planet file of openstreetmap

    see the sets 

    dataset_1 _ hospitals 

    dataset_2_  backery

    dataset_3_  pharmacy

    dataset_4_  grocery 

    all the four sets reside in single spreadsheets 

    i  want to  recieve a retrieval - for the surroundint of postal codes  see the example... 


    if we take the postal coded 8000  which belongs to the area of munich by the way:  i want to recieve the sets of data that belong to this area... 


    dataset_1 _ hospitals 

    dataset_2_  backery

    dataset_3_  pharmacy

    dataset_4_  grocery 

    is this possible - is this a good idea!? or should i put all the data into one big table - ..?

  14. hello and good evening 

    the question of the day_ kml-files to Wordpress: the integration of openstreetmap into the wordpress-framework

    i am working on  the integration of several maps. 

    i download them here:  https://export.hotosm.org/

    eg. as kml 

    note here we have the following File Formats  

    see each file format.
    GeoPackage .gpkg
    Shapefile .shp
    Garmin .img
    Google Earth .kml
    OSM .pbf
    MAPS.ME .mwm
    OsmAnd .obf
    MBTiles .mbtiles


    well which one is appropiate - which one to choose!? 

    well finally i want to upload .kml files to WordPress. I am currently planning to add the maps to  WordPress 

    my guesses: For KML/KMZ files to be properly supported, we'll have to use text/xml and application/zip instead,  kml is detected as text/xml and not application/xml, changing the code accordingly should resolve the issue described in the comments below. well i think that WordPress compares the declared MIME type to the 'real' detected MIME type (see function wp_check_filetype_and_ext in wp-includes/functions.php for more details)


    so the question is: can we do this integration like so


     

    add_filter('upload_mimes', 'add_upload_mimes');
    
    function add_upload_mimes($mimes) {
      $mimes['kml'] = 'text/xml';
      $mimes['kmz'] = 'application/zip';
      return $mimes;
    }
    add_filter('upload_mimes', 'add_upload_mimes');


    what do you say - does this work propperly


  15. topic of this post: complaints: wp_session_manager_start_session()  and other errors too 


    after having reworked on the server-hardware i set back the server live some weeks later. now i have errors see below. 

    guess that this has to do with the newer releases... 


    see the <strong>history of wp versions. </strong>

    5.5.1    23. September 2020    zip
    5.5    1. September 2020    zip

    5.4-branch
    5.4.2    2. August 2020    zip


    well i have running the version 5.4.2


    see the errors and complaining 

    site1:

    Fatal error: Uncaught Exception:
    	`Cannot open source device in /sites/www.mysite.de/wp-content/plugins/participants-database/vendor/wp-session-manager/wp-session-manager.php:46 
    Stack trace: #0 /sites/www.mysite.de/wp-content/plugins/participants-database/vendor/wp-session-manager/wp-session-manager.php(46): 
    session_start() 
    #1 /sites/www.mysite.de/wp-includes/class-wp-hook.php(289): wp_session_manager_start_session() 
    #2 /sites/www.mysite.de/wp-includes/class-wp-hook.php(311): WP_Hook->apply_filters(NULL, Array) 
    #3 /sites/www.mysite.de/wp-includes/plugin.php(478): WP_Hook->do_action(Array) 
    #4 /sites/www.mysite.de/wp-settings.php(403): do_action('plugins_loaded') 
    #5 /sites/www.mysite.de/wp-config.php(97): require_once('/sites/www.mysite....') 
    #6 /sites/www.mysite.de/wp-load.php(37): require_once('/sites/www.mysite....') 
    #7 /sites/www.mysite.de/wp-blog-header.php(13): require_once('/sites/www.mysite....') 
    #8 /sites/www.mysite.de/index.php(17): require('/sites/www.mysite...') 
    #9 {main} Next  Error: Failed to create session ID: user (path: /tmp/) in 
    in /sites/www.mysite.de/wp-content/plugins/participants-database/vendor/wp-session-manager/wp-session-manager.php on line 46
    There has been a critical error on your website.
    	Learn more about debugging in WordPress.


    site 2:

    There has been a critical error on your website.
    Learn more about debugging in WordPress.
    

    Well - what do you suggest: should i first upgrade the versions to the newest version!? 
    again - we did not change any thing in the software of the server - we only changed the hardware...


    look forward to hear  from you 

    regards 

  16. hello dear experts


    can i include this map in Wordpress:


    map: https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/348b643c8b234cdc8b1b345210975b87_0

    data: https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/348b643c8b234cdc8b1b345210975b87_0/data


    note: i want to have both - the data and the map!?


    There is a huge database with approx 2, 8 k records.  I want to have both the map and the database (for the retrieval)
    is this doable - how would you solve this task !?

    we have got several wordpress-plugins

    see the following examples: 

    https://wordpress.org/support/plugin/participants-database/

    https://xnau.com/work/wordpress-plugins/participants-database/list-participants/

    https://wordpress.org/support/plugin/wp-job-manager/

    note: we could use one of the above mentioned plugins - to add the data (to populate the database with the data of the above mentioned map.

    Which is the most appropiate way to do this ...


    Look forward to hear from you

    regards

  17. good day dear community, 


    I've been working with healthcare in the past, but most of what I have seen is proprietary. I'm interested in reproducible research hence my need for open data. Any suggestions?

    see for example some ressources: https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/348b643c8b234cdc8b1b345210975b87_0  

    and the other ones: 
    - Spain - healthsites: https://www.arcgis.com/home/webmap/viewer.html?layers=bf0250c3518149ce976439f5398fb79f
    - Africa OSM Health Facilities: 4.608 records :: Africa OSM Health Facilities 

    https://hub.arcgis.com/datasets/nga::africa-osm-health-facilities

    - USA: Hospitals: https://hub.arcgis.com/datasets/53b8031b906e43c4a4dbcf2250022ca0_0?geometry=-28.755%2C-8.577%2C161.089%2C74.544
     
    This feature layer, utilizing data from the Department of Health and Human Services 


    questions: can i work with the data and maps and thelike from above!?  Is this possible?! 


    btw: the healthsites.io - project provides data that is very limited - i think that the do not have the full set of data (of openstreetmap) i guess that there is only a small amount and subset of data (of osm) derived...  therefore i guess that healthcare.io only delivers a weak set of data - worse and not usable for my goals...

  18. dear community 

     

    hello dear friends.. 


    first of all - i hope  that you are all right and everything goes well at your site!  I hope that your hometown is dealing well with covid-19-

    the question of today: How can I export or query all euroean hospitals from Open Street Map

    by the way this can be regarded as a contribution to the COVID-19 response - fiding a list of all European Hospitals: Find all datasets available for download on COVID-19.

    how can we download data on hospital. - very important: i need the maps and (!!) the data like adress, webiste, location etc. etx. I am looking for a (european) dataset of hospitals: mainly locations, but if possible also names, sizes, number of beds. As far as I can tell, this does not exist yet, but perhaps there are good starting points!

    btw: some approaches:

    healthsites.io is an open data effort to map healthcare entities (hospitals, clinics, pharmacies, private practices, etc.) worldwide. The data is drawn from OpenStreetMap and at a minimum provides the name and geographic coordinates of each healthcare entity. There is a OSM data model for health sites, details provided here. The data is released under the Open Data License.

    which options do we have!?

    can i exort maps - created by requests to the overpass-turbo.eu page: and export the kml-results into a plugin or a block in Wordpress!? That would be more than great

    At the moment i am in the early planning stages of a new project.

    again – the approaches:

    well i want to export the maps in kml or geojson.

    a. southamerica or

    b. europe

    for a overview or for retrival …

    for example a: … showing a map that i have gathered – from http://www.overpass-turbo.eu

    	area["ISO3166-1"="BR"]->.brazil;
    	area["ISO3166-1"="AR"]->.argentina;
    	/* more areas..*/
    	(
    	nwr[amenity=hospital](area.brazil);
    	nwr[amenity=hospital](area.argentina);
    	/* other queries... */
    	);
    	out center;
    	

    for example b:

    	[out:csv(::id,::type,"name","addr:postcode","addr:city","addr:street","addr:housenumber","website"," contact:email=*")][timeout:600];
    	area["ISO3166-1"="CL"]->.chile;
    	/* more areas..*/
    	(
    	nwr[amenity=hospital](area.chile);
    	);
    	out center;
    	

    and besides showing some maps i want to offer a retrival: eg with a plugin like

    wp-jobmanager or wp-participants database ( cf; https://wordpress.org/support/plugin/participants-database/ )

    	812380089 way Clínica Tarapacá Iquique Barros Arana 1550 https://www.clinicatarapaca.cl/
    	812714508 way Hospital Clínico Viña del Mar Viña del Mar Limache 1741
    	817842590 way Hospital de Fresia San José 301
    	819315869 way Nueva Clínica Madre e Hijo Avenida Santa Rosa 1503
    	822509761 way SurMédica
    	828332217 way Consalud
    	829563034 way Hospital de Niños Dr. Roberto del Río
    	831654714 way Clínica Reñaca
    	832118050 way Clínica Alemana Beauchef 765
    	832203189 way Clínica Curicó Curicó Villota
    	840220768 way Hospital Angol General Óscar Bonilla 750
    	840359494 way
    	844876695 way SOS RESCATE ANIMAL 100000 La Huaica Bernardo O'Higgins S/N
    	4587756 relation Clínica Portada Antofagasta Avenida José Manuel Balmaceda 2648 http://www.clinicaportada.cl/
    	6066032 relation Complejo Asistencial Doctor Víctor Ríos Ruiz Avenida Ricardo Vicuña 0147
    	6634378 relation Preuniversitario Pedro de Valdivia Lo Barnechea Avenida José Alcalde Délano 10581 https://www.preuniversitariopedrodevaldivia.cl/
    	7133551 relation
    	

    well do you think that i can do some thing – eg the import of data that is derived eg

    .from healthsites.io or openstreetmap (the GeoJSON or KML data )?

    look forward to hear from you

    regards

  19. for a little (!) project i need to have the data (in DB ) and the maps- 

    this request delivers the Map

     

     

     

    [timeout:600];
    area["ISO3166-1"="BR"]->.brazil;
    area["ISO3166-1"="AR"]->.argentina;
    area["ISO3166-1"="VE"]->.venezuela;
    area["ISO3166-1"="PE"]->.peru;
    area["ISO3166-1"="CL"]->.chile;
    
    /* more areas..*/
    
    (
      nwr[amenity=hospital](area.brazil);
      nwr[amenity=hospital](area.argentina);
      nwr[amenity=hospital](area.venezuela);
      nwr[amenity=hospital](area.peru);
      nwr[amenity=hospital](area.chile);
      /* other queries... */
    );
    out center;


    this request delivers the data;

     

     

     

    [out:csv(::id,::type,::lon, ::lat, "name","addr:postcode","addr:city","addr:street","addr:housenumber","contact:website"," contact:email=*")][timeout:600];
    area["ISO3166-1"="BR"]->.brazil;
    area["ISO3166-1"="AR"]->.argentina;
    area["ISO3166-1"="VE"]->.venezuela;
    area["ISO3166-1"="PE"]->.peru;
    area["ISO3166-1"="CL"]->.chile;
    
    
    /* more areas..*/
    
    (
      nwr[amenity=hospital](area.brazil);
      nwr[amenity=hospital](area.argentina);
      nwr[amenity=hospital](area.venezuela);
      nwr[amenity=hospital](area.peru);
      nwr[amenity=hospital](area.chile);
      /* other queries... */
    );
    out center;

     

     

    question 

    how to achive that i get back both data -set with the request via overpass-turbo.eu 

  20.  

    hi there 

    i am currently workin with the  https://www.rapidee.com/en/environment-variables

    Quote

     

    Environment variables are specially named aliases for basic system properties. Here is the Microsoft definition:

    Environment variables are strings that contain information such as drive, path, or file name. They control the behavior of various programs. For example, the TEMP environment variable specifies the location in which programs place temporary files.

    RapidEE could be useful to edit variables such as PATH, CLASSPATH (Java developers, it's for you), INCLUDE or LIB (respect to C++ developers) with easy. Moreover you will never make a mistake, because RapidEE checks your input and highlights both paths and filenames which are wrong

     

     

    to digg all the things 

  21. hello dear all, good day dear experts - good day dear Freaks 

     

    first of all: i hope youre fine and all goes well at your site!

    i am using the wordpress_org page for interaction and idea exchange. 

    so the thread of today is  concerned about: XML or RSS-feed for plugin support on wordpress page: is there an API and a endpoint 


    afaik the official Plugin support pages doesn’t provide any links for RSS feed. At least i did not find one link. 

    i there a API or a endpoint that we can use here?!  Can we add “feed” to the end of link to get RSS feed like this https://wordpress.org/support/plugin/connections/feed,

    is this possible!?  If so this would be not bad. But wait: This feed displayed only first message for each topic.

     

    What is aimed:  i wanna  I get all messages from support? Because I need posibility to get answers via RSS. Well it would be a good thing to have a API for that, but if not  there an access to the XML version of each thread would be interesting too:  I guess that we can do it like so: by appending “feed” to the end of the URL.


    background: I need  a fully fledged XML, but for all messages in support forum for one plugin. 
    imagine: adding each thread to RSS feed is not convenient - it is a mess. 
    I need just to see answer for all topic in my RSS feed, but I see only first message in topic. This is awful. 

    If I need to watch answers for something like 50 plugins, then i run into a huge overload with this approach. Imagine this is done for 100 plugins. 
    It certainly would be a whole mess. 


    it would be hard work : ... open each plugin support page and check is there some answer, but this take a lot of time.

    any idea - how to solve this issue 

     

    Regards,


  22. ... more insights: 


    very interesting as mentioned above: it seems that the additional css in the customizer does not accept any changes.
    or - in other words: All i change here .- has absolutly no effect on the behavior of the site.

    this is very very interesting _

    but i keep on working on the issues


    i will report and let you know all the findings.

     

    [media]https://imgur.com/leEDm8k[/media]

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