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8

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.


4

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: ...


3

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 ...


2

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),


2

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. ...


2

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


2

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 ...


2

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 ...


2

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: ...


1

My suggestion: 1st: convert to tif 2nd: create pyramids 3rd: see gdal tools (gdaladdo and gdal_convert) for more options


1

As far as I know, ALL of NASA's scientific data is freely available. You can find the datasets you need by either searching NASA's data portal, or in mission-specific sites and hubs.


1

Check Mapzen's metro extracts for Atlanta. They use OSM data and I believe they've also imported Fulton County's data into it. They also have different formats in case you need something other then shapefile


1

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 ...


1

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.


1

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


1

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


1

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.


1

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 ...


1

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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