geojson.io | simple tool for creating , viewing , and sharing spatial data | Map library

 by   mapbox JavaScript Version: 0.0.4 License: ISC

kandi X-RAY | geojson.io Summary

kandi X-RAY | geojson.io Summary

geojson.io is a JavaScript library typically used in Geo, Map applications. geojson.io has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i geojson.io' or download it from GitHub, npm.

Note: development of geojson.io is currently paused. Until development restarts, please refrain from adding issues to the tracker. A fast, simple editor for map data. Read more on Mapbox, macwright.org.
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              geojson.io has a medium active ecosystem.
              It has 1681 star(s) with 532 fork(s). There are 157 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 35 open issues and 604 have been closed. On average issues are closed in 278 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of geojson.io is 0.0.4

            kandi-Quality Quality

              geojson.io has 0 bugs and 0 code smells.

            kandi-Security Security

              geojson.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              geojson.io code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              geojson.io is licensed under the ISC License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              geojson.io releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.
              It has 24054 lines of code, 0 functions and 355 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            geojson.io Key Features

            No Key Features are available at this moment for geojson.io.

            geojson.io Examples and Code Snippets

            No Code Snippets are available at this moment for geojson.io.

            Community Discussions

            QUESTION

            ST_AREA is not enough precise
            Asked 2022-Mar-31 at 14:52

            I am trying to save polygon area when a new polygon has been created by the user. I found that there is a function for this purpose - ST_AREA, but when I check if it is calculating correct I find some discrepancies. Here is one example: This is one polygon which area according to geojson.io is 31.85:

            But when I run ST_AREA for the same polygon:

            ...

            ANSWER

            Answered 2022-Mar-31 at 14:52

            I found a solution which helps for my case. When I get the result from ST_Area I multiply it by 9090,91. This coefficient maybe is propriate only for my problem, but you can find if there is dependency between the real areas and the one from ST_Area. If so, you can find your coefficient.

            Source https://stackoverflow.com/questions/71647985

            QUESTION

            How to create a geojson file from an image overlay?
            Asked 2021-Dec-23 at 14:13

            I am looking for a way to create a geojson file from the distributions of the health sectors in my region which are different than any political division readily available on osm:

            There are fantastic tools such as geojson.io to draw custom polygons but because of the complexity I would need a tool that allows me to overlay an image to use it as a template or that does this automatically. If this makes a difference, I may be able to extract the silhouette with any computer vision library but my problem of how to get from an image or shape to geojson still remains.

            Which is the fastest way to approach this?

            ...

            ANSWER

            Answered 2021-Dec-23 at 14:13

            You can do this using QGIS with manual georeferencing in order to assign real-world coordinates to an image without geo-information. This is done by clicking points on a map that correspond to points on your image. Then once georeferenced you can export the file as a geojson.

            Another solution is to find a shape file (maybe this is correct) and simply convert the .shp into a geojson.

            Source https://stackoverflow.com/questions/70455885

            QUESTION

            Plotly choropleth_mapbox doesn't show polygons
            Asked 2021-Sep-20 at 03:00

            I tried this example and it worked as shown in the link: GeoJSON issues with Plotly choropleth_mapbox.

            Now I'm trying to use it in my Flask app without success and without any error message.

            I prepared an example about what I'm doing:

            ...

            ANSWER

            Answered 2021-Sep-20 at 03:00

            This issue incorrectly associates geojson items with data frame items. If it is the name on the data frame side, the item on the geojson side will be the name. Also, if you want it to be the id of the geojson, the data frame side will be the id. Either way, the data format needs to be the same for both sides.

            Source https://stackoverflow.com/questions/69245752

            QUESTION

            how to validate properties key in a geojson
            Asked 2021-Sep-15 at 07:41

            i would like to know why the below posted geojson format is invalid. i tried to visualize its data in http://geojson.io

            but nothing gets displayed.

            geojson

            ...

            ANSWER

            Answered 2021-Sep-15 at 07:41

            QUESTION

            Python Shapely seems to assign wrong point to polygon
            Asked 2021-Jul-28 at 05:39

            I'm doing some mapping of coordinates to a geojson file using shapely, but it seems that the mapping is wrong. In the image below (from geojson.io) you see the polygon and in yellow the point I want to map. In this case shapely tell me that the point is inside the polygon, but as you see this is false.

            My code:

            ...

            ANSWER

            Answered 2021-Jul-28 at 05:30

            Are you sure that your posted image is really EL RINCON in the GeoJson file?

            I got a very different shape when I run the below on jupyter notebook.

            Source https://stackoverflow.com/questions/68554421

            QUESTION

            Shapely / Pyproj find area (in m^2) of a polygon created from latitude and longitude
            Asked 2021-Jul-10 at 06:10

            I want to find the area in square metre for a polygon created from latitude and longitude.

            ...

            ANSWER

            Answered 2021-Jun-25 at 14:33

            QUESTION

            NetTopology 'found non-noded intersection' Exception when determining the difference between two specific geometries
            Asked 2021-Jun-22 at 11:33

            Using the NetTopology in C# I'm getting a 'found non-noded intersection' Exception when determining the difference between two specific geometries.

            These geometries are the result of using several routines like CascadedPolygonUnion.Union, Intersection, and Difference.

            At some point, we have a MultiPolygon from which we want to cut out another geometry (Polygon):

            We use this code to try and cut off the 'red' polygon:

            ...

            ANSWER

            Answered 2021-Jun-22 at 11:33

            Thanks to one of the maintainers of the library I got the answer.

            Basically, I needed to upgrade to version 2.2 (which I already did at first to see if this would resolve the problem).

            But second, I needed to configure the application to use the - in version 2.2 introduced - 'NextGen' overlay generator, which is not turned on by default.

            To use the 'Next Gen' overlay generator, add the following code at some starup point in your application:

            Source https://stackoverflow.com/questions/68035230

            QUESTION

            Loading holes in polygons with "addfeature"
            Asked 2021-May-20 at 18:18

            I have a map editor that lets the user draw and modify polygons. Polygons can be drawn inside polygons to create "holes."

            The problem I am facing is after drawing inside polygon's on the map and saving the map data--the map becomes mangled on page refresh. The map does not show the original shape even though the GeoJSON is correct. I suspect the addfeature event is not handling inner and outer polygon's properly.

            How can I fix addfeature to properly display the saved map data?

            Expected output:

            Actual output:

            Update: I have tried this and it partially works but it cuts polygon data off. I added another layer to see the original shape:

            ...

            ANSWER

            Answered 2021-May-20 at 18:18

            When you're using the forEachLatLng() on the first getGeometry() you're adding all the LatLngs to the same array. For example I have this GEOJSON:

            Source https://stackoverflow.com/questions/67219807

            QUESTION

            GeoJson file not plotting correctly in Altair
            Asked 2021-Feb-25 at 20:34

            I am trying to create a visualisation in Altair that overlays major rivers onto a map of Europe, and some of the surrounding countries. I used this website to download a custom GeoJSON file of Europe, Asia and Africa. I then managed to successfully plot the base map using GeoPandas (imported as gpd) in the following code:

            ...

            ANSWER

            Answered 2021-Feb-25 at 20:34

            I'm answering my own question as I seemed to have fixed it, and want to share in case someone comes across this issue too.

            It might have been important to note that I am using a Jupyter Notebook to create this visualisation. I just so happened to open another Notebook with a known working Altair visualisation and found the same obscure polygons present. To fix it, I closed JupyterLab, opened it back up and ran all cells in the Notebook.

            Using the same code, this seemed to produce the desired output.

            Source https://stackoverflow.com/questions/66375071

            QUESTION

            Given n overlapping polygons, how could one get the set that provides the most coverage with the minimum number of polygons
            Asked 2021-Feb-18 at 21:50

            I want to get the minimum set of polygons that provide the maximum coverage. For example, for the polygons in the image below, the ones in red should not make the cut as they are already covered by one or more polygons (getting rid of the polygons within other polygons is not enough). Holes are ok and expected (as in the second image).

            The data for the polygons above is here:

            http://geojson.io/#id=gist:rumicuna/b36cab7d0019511b92120db130a73d44&map=8/38.311/-81.403

            I would happily take an algorithm in any language or even a mathematical description on how to approach this problem. The image is an example, but in my case, I have thousands of polygons (satellite image bounds).

            ...

            ANSWER

            Answered 2021-Feb-17 at 23:41

            @btilly mentioned the relevant approximation hardness result, but in practice you should be able to get a good result:

            1. Formulate a weighted coverage problem with discrete elements. There's a clever way to do this, by finding the appropriate planar subdivision. There's also a less clever way to do this, by repeating looking for a pair of polygons P and Q that intersect and replacing them with the sub-polygons P ∖ Q, P ∩ Q, Q ∖ P, keeping track of the correspondence between sub-polygons and original polygons. A computational geometry library will save you a lot of time -- maybe CGAL?

            2. Solve this coverage problem using integer programming. I'm partial to OR-Tools since it's developed by colleagues of mine, but you have a lot of options.

            Source https://stackoverflow.com/questions/66251167

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

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            Install geojson.io

            You can install using 'npm i geojson.io' or download it from GitHub, npm.

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            gh repo clone mapbox/geojson.io

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