In this site you will find a
repository of geospatial datasets with special purpose for spatial data mining.
Please feel free to download them…
Data Set Name |
Number
of Instances |
Non-spatial
attributes |
Date |
Description |
Author |
Download |
Preview |
Squareville |
100 |
1 |
March 2009 |
Squareville is an artificial dataset
purposely created to use in GeoSOM suite. Squareville is a small-town with
square boundaries and an area of 10000 m2.
Squareville has 100 houses evenly spaced with coordinates x in [5, 95] and y in [5, 95]. For each
house we know the average salary, which is s in [900 1000] for 35≤x≤65 and s in
[0 100] |
Victor Lobo |
|
|
4 corners |
5000 |
1 |
March 2009 |
The points follow a uniform distribution in the geographical
coordinate, within the rectangle limited by [(0,0),(20,5)]. In the
non-geographical dimension there are three zones of high spatial
autocorrelation, where the values of z are very similar among neighbouring
points, with a uniform in [90,91] in two zones and [10,11] in another. There
is also one area of ‘‘negative autocorrelation’’, where half the data points
have z==0 and the other half have z==90. In the rest of the input space z has
a uniform distribution in [0,100]. |
Victor Lobo |
|
|
Lisbon_aerial_data |
16936 |
6 |
March 2009 |
This dataset is based on a satellite image, relative to
Lisbon’s area, from Landsat 5 TM. The image was converted to a small
resolution (100x100 m) and a point shapefile was created using the image
pixels. Associated to each point are the 6 bands values. |
Roberto Henriques |
|
|
Sado_estuary |
153 |
3 |
March 2009 |
Real dataset about sedimentation on Sado Estuary |
Sandra Caeiro |
|
|
Fish in Somland |
225 |
5 |
March 2009 |
Artificial dataset about several different fish species
monitored at 225 sample points |
... |
|