College of Science and Engineering, University of Minnesota.
The goal of the GeoPKDD project is to develop theory, techniques and systems for geographic knowledge discovery, based on new privacy-preserving methods for extracting knowledge from large amounts of raw data referenced in space and time.
The goal is to develop new computational, visual analytical, and statistical methods to process, analyze, and understand complex and massive geospatial and temporal data.
The goal of the project is to investigate methods to extract meaningful knowledge from large amount of movement data by defining techniques for an advanced semantic-rich knowledge discovery process.
Summary Table of Land Use/Land Cover Collections.
This site presents statistical data on land cover, land use and landscapes for 23 Member States of the European Union (EU); Bulgaria, Cyprus, Malta and Romania are not covered and not included in the EU totals and averages..
The intended use of PLUTO is to spatio-temporally annotate land regions in the Brazilian Amazon and model land change trajectories related to them.