Here is a very comprehensive shapefile for Nigeria and provides land-use data in the form of legends in Excel files. There is also an ArcGIS layer for styling as there are 23 different filters (I did this in QGIS so I only added in a few filters manually). Here is the link:
I would suggest downloading and installing QGIS. You can then open the file that you link to and export the data in variety of formats.
The most common format for spatial data of this type is a shapefile which is one of the files that you linked to (TM_WORLD_BORDERS_SIMPL-0.2.zip). The reason that it is a zipfile is that there are several associated files ...
Populated Places 1:10m (Natural Earth) Shapefile
No permission is needed to use Natural Earth. Crediting the authors is
However, if you wish to cite the map ...
It's important to understand that ZIP+4 codes and even 5-digit ZIP codes do not represent geographic regions. ZIP codes represent groups of addresses or delivery routes. The +4 codes might narrow it down to a block, a building or single organization.
ZIP+4 data is available directly from the USPS (including a file that relates it TIGER) or from third ...
You can get Sentinel-1 data from scihub.esa. Requires only
registration (And most likely, non-commercial use). As Sentinel-1
has just become operational the archive is not very extensive but
should grow quite quickly.
You can set request data-access propospal on Alaska Satellite
Facility. Some data open access. For ALOS-PALSAR you must be a resident of the ...
My suggestions would be to utilize reverb at http://reverb.echo.nasa.gov/reverb/. First register if you have not already done so. In the search box type ASTER GDEM and Select Dataset --- note if you want a particular area this is the point where you select the box range in the map window to the left (very useful feature!).
ASTER GDEM Global Digital ...
As @user890 says, this very much depends on how the data will be used. Mainly there are two ways you could access the data:
By loading it all into memory in one go and then access/query the data in-memory.
By querying for specific features, bounding boxes etc.
Formats like GeoJSON and KML are best suited for cases when you want to load everything in one go....
I decided to merge other answers with mine and organize them into a tabular format. I think it is easier to read and manage for future visitors:
The table can be accessed from the following link in csv format:
View in tabular form: Free LiDar DataSources
Download (csv): Free LiDar DataSources
Please submit pull request if you intended to add to this ...
Frank Donnelly provides a CSV file of country centroids that's based on data taken from the GeoNames Server, but hand curated by Frank. The data was last updated in February 2012.
The former source isn't available anymore, here is a newer one, with lots of infos on the countries (incl. Centroids), and possibility to download the data in several ...
Now check the general tab
you should see save paths and besides relativ ( I believe its even standard since vers. 1.73, before 1.73 the default was absolut)
ps. just take at look at the screenshot made by manning above ;-)
pps: your screenshot is from settings --> options , thats the wrong way
You can download the "official" EU administrative/statistical units from Eurostat's GISCO service. The vector layers are available as ESRI Shapefiles and Personal GDBs, at different resolutions from here.
Note, in order to extract the country level polygons as below, you will need to extract all features based on the following query STAT_LEVL_ = 1 from ...
chawkins I believe what you are looking for is called the World Port Index, the dataset is produced and maintained? by the NGA and can be found here http://msi.nga.mil/NGAPortal/MSI.portal?_nfpb=true&_pageLabel=msi_portal_page_62&pubCode=0015
The data is stored in an access DB the site also has a shape file which I've not looked at it yet but should ...
Ordnance Survey's VectorMap District has a shapefile that contains Underground stations - it's within the "RailwayStation" file but you can filter on the "CLASSIFICA" field. The website is http://www.ordnancesurvey.co.uk/oswebsite/products/os-vectormap-district/index.html and the licence is based on the Open Government Licence http://www.ordnancesurvey.co.uk/...
I think the OGR Vector Format list (link updated) identifies just about every open source format I have ever heard of, and many many more. Each of those formats has its own advantages/disadvantages, so its hard to say which is the 'best'. For mobile apps, I imagine file size will be one of the more important deciding factors.
For mobile applications, I ...
I recommend checking the http://freegisdata.rtwilson.com/ web site which contains a categorised list of links to over 300 sites providing freely available geographic datasets - all ready for loading into a GIS.
To get OSM data or Natural Earth, as Ryan suggested, I recommend checking the http://market.weogeo.com
Another excellent resource with huge amount ...
Your field names seem to be linked to CENSUS data (very similar to this file )
@Map_man answer will lead you to the source of your data, to be sure.
See here some metadata that seem to fit : https://www.arcgis.com/sharing/rest/content/items/ba931cd7a8f341ed9486a41c6f6798d4/info/metadata/metadata.xml?format=default&output=html
Attribute Label: ID
A new format that has come about recently is the Geopackage. This specification is built on top of the SQLite database, so it has the same single-file basis, but with the added benefit of being an OGC standard.
As to file size, it is likely that the storage format is more compact than the .shp and .dbf format for spatial and attribute data used in the ...
I think you will find that the Natural Earth dataset and OpenStreetMap will give you a good start for worldwide base data, in addition to simply searching for questions with the data tag here on our site.
Why use a database?
Because it's not necessarily the case, especially with larger datasets, that you can expect to be able to push the entire thing to the client. If you're talking thousands of points, then sure, but for millions of points you probably don't want each and every one represented in RAM on your end users' client. Not everyone has a super fast ...
It's probably easiest for you to create your own hexagonal grid shapefile. Many GIS have built-in tools for creating hexagonal grids of any desired resolution and orientation. For example, in the cross-platform and open-source GIS Whitebox GAT, for which I am a developer, you can use the Create Hexagonal Vector Grid tool to create a hex-grid shapefile for ...
The EU has a Corine landcover derivative dataset, Urban morphological zones, which gives polygons of urban areas across Europe defined as:
A set of urban areas laying less than 200m apart
The link to download is:
The page also contains detailed information about ...
Three of the first sources that come to mind:
OSM hillshade basemap
USGS NED hillshade basemap
ESRI hillshade basemap (based on SRTM 30m)
Or you could always download the free SRTM 30m data and create the hillshade yourself.
Assuming you don't have a unique id field, you can use rule based symbols with the following filter
$id % 10 = 1
The % sign is equivalent to remainder, so any row that divides by 10 with a remainder, i.e, every 10th row will remain while the others will be filtered out of the result.
I think your best chance is OpenStreetMap, e.g.
For a list of options for the amenity tag, check http://wiki.openstreetmap.org/wiki/Category:En:Key:amenity
I don't know what commercial POI databases are out there, but I doubt that one would cover all countries and topics you're looking for world-wide.
Briefly, USGS has application services (Option #1), but for some data sets it's also possible to generate direct download URLs (Option #2) to the public location of files.
Download Option #1: USGS Application Services
There's documentation here about the web services that are available:
If you're interested in ...
UPDATE: As a heads-up, they changed the projection format between 2011 and 2016 in case you are upgrading your local data from 2011 to 2016. The 2011 shape file is NAD83 (4269), but the 2016 seems to be using Lambert projection (3348). I say seems because when I load the shape file it doesn't specifically seem to say the exact EPSG/SRID. I ended up ...