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Google changed the layout in early 2015 (February or March, I think, recently at the time of writing anyway). You cannot save the background data (but similar data are freely available from OSM anyway). Your own points, lines and polygons can be saved to KMl/KMZ by clicking on the top-most three vertical ellipses (highlighted in red in the screenshot) in ...


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Download the polygons (shapefile) instead of the coordinate data which is just an ascii list. Open the shapefile using QGIS as I originally suggested and Save As to a kml file. Alternatively use Google Earth Pro (currently free), Shp2kml, or another online converter to do the conversion. Upload the kml file to Google Maps.


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Aerial imagery from sources such as Google Earth have some horizontal positional accuracy problems. A 2013 paper from the Earth Institute at Columbia University showed that the Root Mean Square Error (RMSE) can be significant (8.2m for Google Maps in the study). The RMSE of horizontal accuracy appears to vary greatly between studies. Reasons for this may ...


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There are a variety of approaches you could take, including: Save your map as a KML file, open that file in QGIS, and save as gpx. Use an online converter like GPS Visualizer. You can paste your map's URL directly into the tool as presented in this tutorial. Other possible converters include GMapToGPX, TakeItWithMe, and several others available via search. ...


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Unfortunately I have egg on my face with this one...although this was my first thought I ruled it out like an idiot due to passing in my parameters backwards...Thanks everybody http://stackoverflow.com/questions/29669045/postgis-st-distance-query-returning-inaccurate-results


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Judging from the location of your point, I'm willing to bet that your data is in EPSG:4326 rather than EPSG:3857. Confusing latitude/longitude values with web Mercator X/Y values usually results in a point near the Equator/Prime Meridian intersection.


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Try setting project CRS first to EPSG:3857 with On-The-fly-reprojectionenabled, then add a layer from the openlayers plugin, then add your postgis datasource. If that does not work, please add the extent of the postgis layer, as reported by rightclick, Properties, metadata tab.


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In OpenStreetMap, stylesheets, styling, or rules are terms generally to describe the determines what features (Roads or no roads? If yes, which ones?) are drawn at a particular zoom level and how (is a road black? with or without the road's name?). The stylesheet/rules reads each feature's tags. The rendering software (usually its mapnik) will read the ...


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You say Canada, so I assume you're dealing with the Dominion Land Survey as opposed to the US Public Land Survey System - both use township/range/section references. I'm not as familiar with the DLS and there are some differences to the PLSS. In the PLSS your client would be right, the grid isn't regular. Assuming the information you've been provided is ...


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Just now saw your query. You can try following code. On the geocode status check else part, recursively call the same function with a time gap for the lost addresses. function spotPosition(address) { geocoder.geocode({ 'address': address }, function (results, status) { if (status == google.maps.GeocoderStatus.OK) { var ...


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At some point you'll have to convert from Google native overlays to WKT. You can either do it in your frontend, using for example Wicket.js or in your backend, using postgis's ST_FromGeoJson. Keep in mind that there's no geoJSON spec for rectangles. They're just polygons. If you use Wicket.js you will be able to ingest a WKT BOX to generate a ...


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1st. You will likely have to go province by province, as provinces usually manage spatial data like that and may have to pay for it. For Saskatchewan you might find what you're looking for here or here. 2nd. You will need to then convert the data to kml and upload it to fusion tables. 3rd. Query out what you want to display in fusion tables and then show ...



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