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You won't improve much on WORLDCLIM if the input observations are not better. There are much more observations for European area than were included in Worldclim - but these may not be widely available to the public. Reanalysis products from even regional modeling systems are too coarse for your needs and themselves require validation. I am working on ...


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Do you need to actually own a bunch of POI data, or are you just looking for a better positioned geocode? Nokia's Here (Same Here mentioned in the other answer, but it's no longer called Navteq at all) offers a geocoder that will (I believe) match against point addressing where available which will be better positioned than just a street address range ...


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My preference is nationalmap.gov, they even have a new bulk download tool that simplifies the process of downloading all the tiles quite a bit.


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I personally prefer http://datagateway.nrcs.usda.gov/ however the max resolution you can download at one time is statewide and I would assume those will be quite large but it is organized well.


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My favorite source of DEM data is at viewfinderpanoramas.org It has STRM data that has been massaged in various ways. I think that should be good enough resolution for what you require.


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I guess that you need to speed up the whole interpolation process for adding next day measurements. Hopefully enough optimization (pre-computing and updating) could be possible when you write down a suitable tensor-product spline interpolation problem over a regular 2d grid. Alternatively, you could see this as a 1d interpolation along time axis of a ...


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You can get population data from Geonames. Not sure about the source of the population data, although it seems that such data coincides with Wikipedia's population data, which is from 2011. You would also need to validate that there are more than 600.000 Indian villages in Geonames. Regarding an automated way, you could follow this tutorial by Tim ...


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(Disclosure: I am part of the WOUDC data centre renewal team) The data centre is undergoing renewal in order to modernize client services. Improved data access is one of the major enhancements (which includes geospatial web services and formats; see the data access about page for details). Users are encouraged to provide feedback against the beta. For ...


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why don't you use a Basemap as the background layer? (if you are working in ArcGIS). For the boundary lines it should be also very easy to find that. There are several shapefiles out there, just google for Istanbul shapefiles.


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I use GIMP 2.8 Open pdf and export as tif or whatever you perfer.


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The Global Land Cover 2000 (GLC2000) dataset from the EC-JRC might also be a useful reference landcover dataset, even if it is a little dated now...


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You could use OpenStreetMap data. There are so-called OSM-poly-files (http://wiki.openstreetmap.org/wiki/Osmosis/Polygon_Filter_File_Format) which describe the extent of the region for the entire US and each federal state: http://download.geofabrik.de/north-america.html respectively http://download.geofabrik.de/north-america.poly


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As I have said in my comment, you will not get the layers with 2011 census information. However village layer with 2001 census information are available from Survey of India at a fixed price. I have also found some data at this link: https://archive.org/details/IndiaVillageBoundaries I cannot vouch for its heritage, completeness or accuracy, but what ...


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Part of the problem might be with your search term. 'Cloud Cover' is typically discussed in the context of sat imagery and specifically a percentage of blocked image. You're looking for cloud (or clear sky) frequency. This is often a factor in studies to locate solar power facilities. Going down that route might skew your data since they're primarily ...


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You can download the US country boundary from Natural Earth, load it into QGIS and export it as GeoJson. You might need to simplify the boundary. This approach has the added benefit that you can incrementally adjust the smoothing of the line until you get it down to a manageable number of points.


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This database does it for mangrove globally for 2012 inclining percentage mangrove cover at the 30 m pixel level. This is the URL to the paper and below is the data link. http://faculty.salisbury.edu/~sehamilton/mangroves/ and this one has year 2000 presence and absence globally. The IUCN Redlist link above is not actually a true mangrove location but a ...


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Perhaps DIVA-GIS may contain the shapefiles you're after with some corresponding boundaries. Select India as your country and your subject, I chose Administrative areas and received 4 shapefiles of differing levels. Choose the "IND_adm3" layer to see all the Mumbai areas within the Maharashtra district. Note: The shapefiles are outdated as Mumbai is still ...


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You can download the shapefiles for Guyana from DIVA-GIS. Simply select the country from the list and your specific subject such as: Roads Railways Population I selected Administrative areas and received 3 shapefiles with differing levels. The shapefile named "GUY_adm1" will give you the polygon layout as shown in your link. However, there seems to be an ...


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The error message you are encountering is telling you that the coordinate systems do not match. For example may be you are trying to copy data that is WGS84 into a UTM defined FeatureDataset? All data copied into the FeatureDataset must match the FeatureDataset..


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Display XY Data > Natural Neighbor Interpolation - use the points you just created as the Input Point Features and the Z value set to average precipitation. That will get you a raster surface of rainfall which you can represent how you choose. *Be aware that with Natural Neighbor Interpolation, you may need to add some 'Anchor Points' so as to ensure ...


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Build Thiessen Polygons tool would probably accomplish this. Convert the csv to a point file and go from there.


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The FAO released the GLC-Share which provides a set of major thematic land cover layers resulting by a combination of “best available” high resolution national, regional and/or sub-national land cover databases. Metadata and download link here: http://www.fao.org/geonetwork/srv/en/main.home?uuid=ba4526fd-cdbf-4028-a1bd-5a559c4bff38 Remind that both this, ...


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The only high resolution global land cover that I know is the one done by the PR of China. In Europe they seemed to use CORINE as an ancillary data, so it is difficult to judge the consistency accross the world, but it has a spatial resolution of 30 m. http://www.globallandcover.com/GLC30Download/index.aspx http://unstats.un.org/unsd/default.htm You ...


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The EPA has a power profiler service that allows you to find out "how clean" the power you are getting is. It profiles the percent of power coming from each type of power generation per zip code. Unfortunately, I cannot find any place to get the data for all zip codes at once. Alternatively, there are downloadable databases that profile power subregions and ...



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