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6

From the Wayback Machine: ISRIC WorldGrids The domain worldgrids.org will be discontinued. A set of GIS layers of biophysical properties available at: ftp://isric.org username: gsp password: gspisric for each territory in the world. If you can't find what you are looking for, the following links might be useful http://data.isric....


6

For reference, the 911Count.shp you're asking about is from the tool help, specifically within the Python snippets. Eg. arcpy.HotSpots_stats("911Count.shp", "ICOUNT", "911HotSpots.shp", "GET_SPATIAL_WEIGHTS_FROM_FILE", "EUCLIDEAN_DISTANCE", "NONE", "#", "#", "euclidean6Neighs.swm", "NO_FDR") These python snippets ...


5

When you import a shapefile (or zipped shapefile) into QGis is just displays the data using a random color. So you need to style it and select a attribute to colour it in by and how you'd like the values mapped to colours. The trick with the wind speed data is to read the documentation (boring though that is) - so looking in the included "Wind_attributes....


5

Data use and ownership depend on the publishing agency, the data, and the license level of those data. You can read about the specifics of OpenStreetMap data here, and JOSM data here. For USA data available from the National Map there are no restrictions. You will have to investigate deeper for other data.


4

If you have a look at Sentinel 2 bands you'll find that all bands are type unsigned int 16 except for QA20 that is unsigned int 32, that band is causing the issue. You can solve it in different ways, but I post here what I think is what you need: var image = ee.ImageCollection('COPERNICUS/S2') .filterBounds(PuntoQuellaveco1) ....


4

First you need the parliamentary borders, which you can download as a shapefile from http://geoportal.statistics.gov.uk/datasets/westminster-parliamentary-constituencies-december-2015-full-extent-boundaries-in-great-britain You can also get the data generalised or clipped to the coastline - search for "Westminster" seems to get most of the options: http:/...


3

You could also use the OSM Overpass API (as a web-based tool: https://overpass-turbo.eu/) to query OSM data and export it. There is also a list for the differing country specific admin levels and their meaning in the OSM wiki I used the wizard for constructing the query. Here is an example of the UK with the corresponding query:


3

In regards to QGIS/GRASS modules to conduct stereoscopic analysis you can with these resources providing further details on general approach and some steps to their methods. A Survey of Stereoscopic Visualization Support in Mainstream Geographic Information Systems Stereoscopic analysis GRASS 6 Viewing existing data as stereo 3D The d.anaglyph addon ...


3

You can view a python window. I would suggest referencing this page QGIS Python console The QGIS Python Console is an interactive shell for the python command executions. It also has a python file editor that allows you to edit and save your python scripts. Both console and editor are based on PyQScintilla2 package. To open the console go to Plugins ‣ ...


3

As you are using ArcGIS Pro one of the improved things is it's ability to draw data from online portals. You don't need to go anywhere to get any data as generic datasets such as country boundaries are all accessible right inside ArcGIS Pro! Open up the Catalog pane, select Portal, Living Atlas and type "Netherlands", second dataset is a Netherlands Country ...


3

In wizard of overpass-turbo it looks something like this: railway=tram_stop or public_transport=station. See query below. Check osm for the exactly used types and tags: When doing the query in overpass turbo make sure to zoom on that area you want to have your result at. All stops in VBB: /* This has been generated by the overpass-turbo wizard. The ...


3

r.sim.sediment is a tool from the GRASS toolbox. You can find documentation for GRASS tools by clicking the "Help" link in the QGIS tool dialog for that tool, or go straight here: https://grass.osgeo.org/grass64/manuals/r.sim.sediment.html It shows that you need a few raster data sets over your study area, including elevation, water depth and so on. If ...


3

I think you will struggle to find those regional shapefiles. But when i've needed country wide shapefiles, i tend to use Natural Earth: http://www.naturalearthdata.com/downloads/10m-cultural-vectors/ In your case, i would download the "Admin 0 - Countries" file. If you then open this shapefile into, let's say QGIS or ArcMap, open the attributes table and ...


2

MODIS imagery is publicly available via satellite imagery service called LandViewer. You can download it with ease via the toolbar on the right or use dozens of tools for image analysis directly on the platform. Besides that there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, ...


2

You can get country centroids using Python and GeoPandas. import geopandas as gpd import pandas as pd # Access built-in Natural Earth data via GeoPandas world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')) # Get a list (dataframe) of country centroids centroids = world.centroid centroid_list = pd.concat([world.name, centroids], axis=1) # ...


2

Due to the size of the shapefiles, they are not posted in the OECD website. The TL2 and TL3 shapefiles can be found in the following Dropbox link: https://www.dropbox.com/sh/aqfzuofxocv6zgl/AABFWmuLByljQrvY1eXP8em8a?dl=0 The detailed FUAs can be found at the following link: https://www.dropbox.com/sh/h88tr4at7nxa7ea/AACg1-JWLwEvIcZd5l5pucC_a?dl=0 For ...


2

The Global Wind Atlas by DTU Energy and the World Bank Group is definitely worth checking out. It contains GIS data on wind speed, capacity factor and direction (and much more) at 50, 100 and 200m hub height, with a 250x250m resolution, free of charge.


2

I would suggest looking here: Public Geodata for the UK The following links are to sources of geo-spatial data and is intended for the use of researchers who cannot afford to buy expensive datasets. Hence, all the datasets are either free or cost under £50.00. Whilst we have included low cost data, it is not our intention to advertise or support ...


2

It's 2019! https://www.ic.gc.ca/app/sitt/bbmap/hm.html?lang=eng Looks like you can search by address, and if you click on the area information tab, you can get which providers are available. This wasn’t available in 2017. If you download the map data, you don’t get provider information. Then, looking at the FAQ for that page, I found this: https://open....


2

Unfortunately, there’s no such thing as live satellite imagery yet. Space agencies and commercial imaging companies are trying to reduce interval between image acquisition and delivery, but the most frequently updated imagery in free public use is still the one from weather satellites. You may choose to buy commercial images from DigitalGlobe, Airbus, ...


2

There is the Open-Elevation API (https://open-elevation.com/) that looks promising see https://github.com/Jorl17/open-elevation/blob/master/docs/api.md for API examples Live API sample: https://api.open-elevation.com/api/v1/lookup?locations=41.161758,-8.583933


2

If I understand the question correctly, you want a shapefile with polygons showing the boundaries for the countries within the UK? You can download one here: https://borders.ukdataservice.ac.uk/easy_download_data.html?data=infuse_ctry_2011 This is from the UK Census data service, you can download a variety of boundaries (electoral, county, district, etc.) ...


2

What you really want are Eurostat NUTS Level 1 boundaries, which include UK regions and also the whole of Wales, Scotland and Northern Ireland. You can fetch the latest 2018 data from UK Office for National Statistics. Depending on your needs, you'll want to choose between generalized (lightweight, but coarse) or full (bigger files with finer detail) ...


2

As commented by @scai: There are already several other aerial imagery providers apart from Google. And there is OpenAerialMap. OpenAerialMap is for: The open collection of aerial imagery. OpenAerialMap is an open service to provide access to a commons of openly licensed imagery and map layer services. Download or contribute imagery to the ...


2

Outline solution: Get boundary data for all countries in the region (can be downloaded from gadm.org) Loop over all D/M/S on the earth, doing point-in-polygon tests over the boundary data from step 1 - this can be done using Python, R, Java or C or lots of other programming languages. Keep those D/M/S values that are inside the boundaries. How many points ...


2

The FTP systems access have been discontinued and please only use the Webdavs https://files.isric.org/soilgrids for soilgrids. For the GSP layers use: https://files.isric.org/projects/gsp/ with password gsp / gspisric Please notice that all links are only HTTPS Webdav can be used as network drive on windows or generic mount linux In case of problems ...


2

This data source (from the Australian Bureau of Agriculture and Resource Economics and Sciences) includes irrigation areas for most of Australia.


2

If you prefer to use Landsat, then Landsat 5 ran until 2013 (when Landsat 8 was launched). This imagery doesn't suffer from the scan-line error and would cover your time period of interest.


2

Sounds like you should at least be interested in HydroBasins. You can download it here--choose the level-12 product for finest resolution. Each basin has an associated area, upstream drainage area, and downstream basin ID (along with some other properties). What I have done with this dataset is to write a Python script that will delineate the watershed of ...


2

Data.gov is my first stop for US Federal government data. Searching for for "farm resource regions" yielded 19,446 results. Filtering by geospatial and agricultural narrowed it down to 4 search results. The first two sound promising: Major Land Resource Areas (MLRA) "The United States, Caribbean and Pacific Basin Major Land Resource Areas (MLRA) ...


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