Disaggregating County-Level Census Data for Population Mapping Using Residential Geo-Objects With Multisource Geo-Spatial Data

Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data

High resolution, contemporary data on human population distributions are vital for measuring impacts of population growth, monitoring human-environment interactions and for planning and policy development. Many methods are used to disaggregate census data and predict population densities for finer scale, gridded population data sets. We present a new semi-automated dasymetric modeling approach ...

Decoupling Mesh and Data Representations for Geo-spatial Data Visualization

Nowadays, data visualization plays an important role in geo-spatial data investigations, specifically in the context of visual exploration at interactive frame rates. Geo-spatial data typically include geographic information in form of a set of gridded or un-gridded points, where each point identifies a location on the earth’s surface. A variety of projection methods are in use to re-produce th...

Data Mining Approaches for Geo-Spatial Big Data: Uncertainty Issues

The availability of a vast amount of heterogeneous information from a variety of sources ranging from satellite imagery to the Internet has been termed as the problem of Big Data. Currently there is a great emphasis on the huge amount of geophysical data that has a spatial basis or spatial aspects. To effectively utilize such volumes of data, data mining techniques are needed to manage discover...

Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data

Advanced Data Driven Visualisation for Geo-spatial Data

Most current 3D landscape visualisation systems either use bespoke hardware solutions, or offer a limited amount of interaction and detail when used in realtime mode. We are developing a modular, data driven 3D visualisation system that can be readily customised to specific requirements. By utilising the latest software engineering methods and bringing a dynamic data driven approach to geo-spat...