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7

you might want to try Overpass Turbo to extract villages from OpenStreetMap (see license). I tend to find OSM has better detail in some countries than Google Maps. And they should be more accurate than 1 minute resolution of Geonames. Zoom the map to the extent you want, and use this query. This will return Geojson [out:json][timeout:25]; // gather results ...


3

Found it here just now: https://ordercitrasatelit.wordpress.com/2013/03/16/free-peta-batas-administrasi-desa-seluruh-indonesia/ It is pretty detailed. It has up to level 4 administrative boundaries. Also it has area properties such as province, regency, kecamatan, etc.


2

They're well hidden! I found a directory with archives of shapefiles here. There's some documentation here. It looks like the polygons aren't updated regularly, but you can sign up to the mailing list to find out when they are, according to that document. If you download this archive (33MB), the forecast zones are in land_CLCBaseZone_detail_proj.shp. (The ...


2

I figured out where I went wrong. I forgot to set my limit for the data, so by default the limit was set up to be 25. This was the reason why I was getting data just for the first month. Thanks for your help.


2

You need to ask for more information, specifically the coordinate system of the data. These look like x/y/z coordinate values to me, but you cannot accurately display them without knowing what coordinate system they are in. They look like they may be in meters, but there are many coordinate systems that use meters. Once you know what coordinate system ...


2

The one caution around using block group level data from the American Community Survey (which is a great resource!) is that the sample sizes are pretty small and you have to watch your margins of error, especially around things like median household income, which can be skewed in small populations. If you are interested in aggregating areas, here's one tool ...


1

What geographic scope are you looking for? If it's local (your city or county) check with your local government. Often times planning/zoning departments, building departments, or GIS departments have such a list, and it is probably considered public information and would most likely be in a digital format. Other local enitities you can check with may be the ...


1

There is a trove of data here: http://www.nauticalcharts.noaa.gov/csdl/mbound.htm Also, a similar question was asked: What are the existing datasets of world maritime routes?


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I'm not aware of a particular KML/KMZ file, but if you're creating the KMZ file yourself you might have some success if you generalize the data to remove vertices. I've never had a problem using KMZ in Google Earth with file sizes larger than 10MB, however I've had plenty of problems with KMZ containing more than 30000 vertices. If you can't generalize the ...


1

From the looks of it, you are getting a python error because the headers argument is expecting a dictionary, not a string The following works for me on the entire date range: import requests url = "http://www.ncdc.noaa.gov/cdo-web/api/v2/data?datasetid=GHCNDMS&locationid=ZIP:28801&startdate=2000-01-01&enddate=2010-01-01" # replace 'myToken' ...


1

I always prefer coordinates in latlon WGS84 because they are usable worldwide and easy to understand once you know which is latitude and which is longitude. I happen to live in a country that spans across several UTM zones, and before that used several smaller Gauss-Krueger zones. As long as you are within one zone, everything is ok, but cross-zone ...


1

I've used GTFS editor https://github.com/conveyal/gtfs-editor , and it works pretty well. There is a moderate hump (usage of the command line) to get over for getting it up and running, but once that is done it's straightforward. If that is too much, TransitEditor is hosted and supported.



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