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Do note that MDHald's answer is linking you to Sentinel-1 SAR Data. The Sentinel-2 EO data has it's own "pre-ops" hub. With the login credentials currently guest/guest. As you can see, searching for "nigeria" returns correct results. If you want to search for individual granules, you can use this KML tiling grid to locate them Sentinel-2 data is also ...


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Better than volcanoes is the actual plate boundaries, given volcanoes are typically offset from the boundaries and aren't always indicative of a plate boundary (e.g. most volcanic sea mounts). Here's a project that publishes the boundaries and will mean you don't have to draw anything by hand (will work better with multiple map scales): Home page: ...


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How about an open data that ESRI has set it up. You can find it here: http://opendata.arcgis.com/


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Had a spare twenty minutes so did this. The white stripe is just where tile servers aren't happy with the EPSG:3832 projection. Hmmm... Process was: georeference image from wikipedia; load into QGIS; create new shapefile; digitise round ring of fire in image; save. Zip of the shapefile is here: ...


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Municipal ward level maps can be found here: https://github.com/mickeykedia/India-Maps


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You could start with a shapefile of volcanoes and drop the file into QGIS. Then set the projection to EPSG:3832 to give you a Pacific centred map. With the addition of a Natural Earth raster as a backdrop you end up with something like: From there you just need to sketch in an outline if you need.


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First, use a da cursor to make your code 10 times faster. Replace the list with a dictionary where the keys are the streetnames and the value is the sum of all lengths. Then you can write it all back in a single pass of an update cursor. At the same time you can get the OID list and do a single SelectLayerbyAttribute to Copy all the features at once to ...


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The problem is that you aren't iterating over RoadList: you're essentially doing this each time: >>> "OID = " + str([1,2,3,4]) 'OID = [1, 2, 3, 4]' To change this, you could use a for loop instead: for road in RoadList: query = "STREETNAME = '{}'".format(road) As an alternative approach, there is a GP tool that does this for you very simply: ...


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Wikipedia will have the high and low points for continents, countries, and all of the states. For cities, it's possible the information may be on Wikipedia or another source. To do it via GIS, bring the contours in and sort them to see the lowest and highest elevations. You can get 10ft contours from the USGS download site. It is possible certain cities ...


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The TIGER/Line data use Global Coordinate System North American Datum of 1983 (GCS NAD83). Based on About the 2015 TIGER/Line Shapefiles, each .prj file contains the following: GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137,298.257222101]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]] Which means ...


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You can download Sentinel 2 Imagery by going to the Sentinel Data Access Portal and selecting the Sentinel Data Hub Once you have arrived here select Scientific Hub In the top right hand corner select Sign Up (Enter all your info and verify the email they send you) Login to your new account. Begin your search by using the search bar and type in ...


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There is also a github project with stats and data layers in geoJSON format Github: Mapped-based data visualisations Specifically the files here


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Since you mentioned Cambodia in the tag, you can find what you want from OpenStreetMap (OSM). The data can be downloaded from geofabrik.de, and you can follow this tutorial on how to search and download OSM from inside QGIS.


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You can add and edit geometries (points/markers, lines or polygons) in CartoDB. Here you have a step by step tutorial about how to do it. But I also recommend you to look for that data in other places besides the City Hall.


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A good source would be OSM and select based on the Admin level. Downloading all the OSM data for the world would be a pain if you just want cities, but you can try the Metro Areas extract (see here),


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This would have been my solution: import csv results_csv = r"D:\results.csv" # This is the location of the csv containing your results modified_results_csv = r"D:\modified_results.csv" # This is the location of the csv that will contain the modified results header = ["US_NUMBER","Absolute_Distance_ft","DESCRIPTION","FEATURE_TYPE_ID", "Line ...


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International Boundary & Water Commission USA and Mexico has a link of GIS. http://www.ibwc.state.gov/GIS_Maps/GIS_Links.html


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I would recommend looking at the OpenStreetMap dataset. It contains a fair amount of POI data, including some about stores and shopping malls. However, I am not sure how in depth the data you need is and whether OSM might be too general or incomplete. At first glance, the shop, amenity, and landuse tags might be of use to you. ...


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For country borders and those on lower administrative levels, have a look at gadm. I think the datasets are free for non-commercial use.


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The National Snow and Ice Data Center has a dataset along these lines. NSIDC Dataset The problem now becomes, how do you convert a .dat into a usable raster. I tried writeRaster but this wont work for me. Any suggestions?


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Not sure where you got your data. In Alameda County, if your data has Use Code or Use Description, use that. If it just has Use Code, then check this chart here for residential uses, Alameda County Assessor Use Codes If it has neither, you could download this table that has use codes, then join it to your shapefile and assign residential based on the Use ...


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You can find what you want at gdam. The site has detailed global boundaries. You may dissolve or merge some boundaries to reach the final goal of the desired boundary.


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A PDF file can have raster and vector data. On the command line (e.g. in the OSGEO4W shell) you can run gdalinfo and ogrinfo on the file to gather information on the layers that can be read by GDAL. See How to have GDAL print layers of GeoPDF AND say which are raster vs vector for examples on that. QGIS might hang up rasterizing a vector layer, so it might ...


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A search on data.gov.uk for rail returns several datasets that you might find useful. For example Network Rail - railway network Inspire data There's a WFS and a WMS for the rail network and for stations Here's a preview


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This sounds like an OSM issue to me. You can obtain the data for Saudi Arabia (GCC States) here e.g.: http://download.geofabrik.de/asia/gcc-states.html. A close look at the data will be required, and if it fits for your application depends strongly on the mapping quality, but i did some routing application for germany with the related data and for me it ...


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You can use the OSM(OpenStreetMaps) road data, take a look at How to extract primary and secondary roads from OSM data? and also look at this question from the OpenStreetMap Help as well.


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You could send an email to the GIS team at Hawaii's Department of Business, Economic Development and Tourism (DBEDT): gis@dbedt.hawaii.gov They'll be able to answer that for you.


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Geospatial Information Authority of Japan http://www.gsi.go.jp/ENGLISH/index.html http://www.gsi.go.jp/kankyochiri/gm_japan_e.html


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Check the National Land Numerical Information website. The website has most of GIS data at national scale at various levels.



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