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1

Revisiting an old topic, but some might benefit from this link http://www.eia.gov/maps/layer_info-m.cfm Not particularly high resolution, but it does show many of the major pipelines.


2

UK Met Office use this cloud cover layer. http://www.metoffice.gov.uk/datapoint/product/cloud-cover-forecast-map-layer If you sign up to datapoint you can get archive data (which you are after) https://register.metoffice.gov.uk/WaveRegistrationClient/public/register.do?service=datapoint (Note: some are not free services but most are) API feeds (& ...


2

Do you have ArcGIS? If so, you can follow these directions below and it will take about 5 minutes. Download US Counties from ESRI Follow ESRI's instruction at HowTo: Find the centroid of polygons using Calculate Geometry This results in a table of Latitude and Longitude attributes as well as points for the centers on your map.


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Note that the links to the CA Soil Resource pages have recently changed. Please use the search feature on the new site to find relevant material. Please see my suggestions in a related question.


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You have a couple of options: For an R-based solution, see the AQP family of packages, in particular "soilDB" If you feel like reverse-engineering WMS, and related AJAX-style queries see SoilWeb The "soil data access" website (not enough rep. points to provide a link) provides a limited SQL interface to the SSURGO tabular data. The SDA_query() function ...


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The county features in the geodatabases found here contain two columns (INTPTLAT and INTPTLON) that represent the centroid of the county. I used several state geodatabases but have not attempted to verify the accuracy of the centroids listed.


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Three options off the top of my head: Checkout openstreetmap.org and use OSM data, or Post this question at http://opendata.stackexchange.com/, or Digitize the footprints from Google Maps (or Bing Maps).


2

I believe you can purchase it from Teranet but this kind of information is extremely expensive and possibly confidential in Ontario. Alternatively, you could download free data from Land Information Ontario (LIO). GTA has a 1:10000 coverage and a few buildings datasets, large buildings (polygon footprints) and building locations (centroid points). This ...


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ESRI has an standard xml format to export both the data and the schema of data. In ArcCatalg (Catalog window of Arcmap): 1- As arcgis cannot export shapefile directly to XML workspace first import your shapefile into a geodatabase featureclass. 2- right-click the featureCLass > Export> XML Workspace Document in the opened window there are two combo ...


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Down to "comuni" level you can download SHAPE files from http://www.istat.it/it/archivio/104317 The available years are: 1991, 2001 and 2011. I didn't find an indication when to expect the next update. Related data link: http://www.istat.it/it/strumenti/territorio-e-cartografia


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Would the Natural Earth Admin 1 data work? http://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-1-states-provinces/ (again, you'd need too convert from shp to json)


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I ended up using RafealJS with the following SVG file: http://commons.wikimedia.org/wiki/Category:SVG_maps_of_the_United_Kingdom#mediaviewer/File:British_Isles_in_counties.svg


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A data requirement like the one you have outlined requires either a series geostationary satellites, or modeled data based on an amalgamation of data sources. Geostationary satellite: Your best bet would be the Meteosat MSGs. Working with this data is not the easiest task in the world, and accessing data is not easy either. For research projects, this data ...


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Check this site http://www.worldclim.org/. The raster resolution is ~1km (30 arc-seconds).


3

You can work this out using the GeoNames RDF endpoint (and probably with other end points too). So for example to find the neighbours of France you call http://sws.geonames.org/3017382/neighbours.rdf which returns the following file: <?xml version="1.0" encoding="UTF-8" standalone="no"?> <rdf:RDF xmlns:cc="http://creativecommons.org/ns#" ...


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Based on this discussion - https://github.com/qgis/QGIS-Documentation/issues/246 - data could be found here: https://www.dropbox.com/sh/n7kzrv7b8fzprxp/AABrvs2LQdNdJrCsC1VA3stMa?dl=0


1

Satellite imagery is generally not labelled according to potential mapping scale, due to the indirect relationship between the two concepts. WR Tobler's rule of thumb is "divide the denominator of the map scale by 1,000 to get the detectable size in meters. The resolution is one half of this amount." For your scales, that would mean 2.5m resolution imagery ...


2

ESRI Shapefiles for New York City MapPLUTO merges PLUTO tax lot data with tax lot features from the Department of Finance’s Digital Tax Map (DTM), clipped to the shoreline. It contains extensive land use and geographic data at the tax lot level in ESRI shape file format and dbase table format *includes frontage see metadata ...


1

according to this Lifemapper page: Lifemapper gets its occurrence data from the Global Biodiversity Information Facility (GBIF). In that case, you'd be better off getting the data directly from GBIF, which currently has 458,543,199 georeferenced species occurrence records, and tools for bulk downloading data.


2

As stated above, I'd try USGS Earth Explorer for data in the US. Your scales are pretty large. Especially 1:5000, for which you could look for 'Hi-Res Orthoimagery' with Earth Explorer. USDA NAIP imagery exists for almost everywhere in the US at 1 meter resolution. Historical imagery can be found on Earth Explorer as well. You could use the National ...


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You are almost right: NODATA is set to -32768 for oceans. Additionally, -997 is set for great lakes that are not excluded by the coastline. Since the pixel content (growing period) makes no sense on lakes, you can safely treat -997 as NODATA too.


2

Smaller than block groups would surely be blocks, then. I would assume you have looked at the Census? Data is available in shapefiles but also in csv files. I would especially recommend looking at the latter, as sometimes it contains more data. Esri also provides TIGER data that has been formatted already; using that data might have benefits over using the ...



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