dil_bert

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

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:/>

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:

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.

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?!

hi there - tried it - all works very well have a great day - and yes: keep up this great place. I love this forum

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

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 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

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?

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

.... 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

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.

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...

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 - ..?

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

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

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

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...

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

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

hi there i am currently workin with the https://www.rapidee.com/en/environment-variables to digg all the things

hi - do not worry - do not hesitate i wont do this.. cheers 😊

hello - i was able to add the system variable to the win environment. but i stuck with the work on the regedit!? can you advice here!?

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,

... 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]