Seems like d3 has you covered: https://github.com/d3/d3-geo#geoContains d3.geoContains(object, point) Returns true if and only if the specified GeoJSON object contains the specified point, or false if the object does not contain the point. The point must be specified as a two-element array [longitude, latitude] in degrees. For Point and MultiPoint geometries, an exact test is … Read more
Does this need to be a service? Here’s how I’ve approached this in the past, using free/Open Source tools: Download public-domain shape files from Natural Earth Data Use Quantum GIS to convert .shp to .geojson (one step, under “Layer > Save As…”) Now you have hi-res GeoJSON data. This is a really big file, though, … Read more
If you don’t want to create this dict manually, you can also rely on geopandas creating it: In [1]: import shapely.geometry In [2]: import geopandas In [3]: shapely_polygon = shapely.geometry.Polygon([(0, 0), (0, 1), (1, 0)]) In [4]: geopandas.GeoSeries([shapely_polygon]).__geo_interface__ Out[4]: {‘bbox’: (0.0, 0.0, 1.0, 1.0), ‘features’: [{‘bbox’: (0.0, 0.0, 1.0, 1.0), ‘geometry’: {‘coordinates’: (((0.0, 0.0), (0.0, … Read more
This process is now simplified (July 2014) compared to the steps I see in the accepted answer. It now seems much easier to get this data. I at first floundered around the web hoping I could just download a bunch of standard maps in GeoJSON format, but came up empty other than standard US/Canada offerings. … Read more
I found an interesting article describing how to do exactly what you are looking to do. TL;DR: Use Shapely You will find this code at the end of the article: import json from shapely.geometry import shape, Point # depending on your version, use: from shapely.geometry import shape, Point # load GeoJSON file containing sectors with … Read more
Use the addGeoJson method of data instead of loadGeoJson. loadGeoJson expects an URL as parameter, not a GeoJSON featurecollection object. map.data.addGeoJson(tempObject); Check the reference: https://developers.google.com/maps/documentation/javascript/reference#Data
If you care about file size or topology, then use TopoJSON. If you don’t care about either, then use GeoJSON for simplicity’s sake. The primary advantage of TopoJSON is size. By eliminating redundancy and using a more efficent fixed-precision integer encoding of coordinates, TopoJSON files are often an order of magnitude smaller than GeoJSON files. … Read more
My answer is close to Jan van der Laan’s, but you can simplify things slightly because you don’t need to compute the geographic centroid; you only need the bounding box. And, by using an unscaled, untranslated unit projection, you can simplify the math. The important part of the code is this: // Create a unit … Read more