NEWS

New Data Access Request form – applying for data easier than ever

Applications for administrative data for research just became much easier in British Columbia thanks to a collaborative effort  ... more

Few seats still available for summer workshops

There are still a few seats available for these summer workshops in Multilevel and Hierarchical Linear Modeling (July 5-9) and An Introduction to Bayesian Disease Mapping (July 29-30)  ... more

Admin Data 101 workshop now online!

This free workshop explains the basics of what administrative data are, where they come from, how they can be used for research, what the data produced for a research project actually look like and what skills are needed to work with them ... more

ARCHIVED NEWS

External resources - open source software

GeoDa - User friendly software developed at the Spatial Analysis Laboratory for exploratory spatial data analysis (ESDA) which includes spatial autocorrelation statistics and spatial regression.

DMAP - DMAP is a Windows compatible program that produces disease rates using variable spatial filters and tests for their statistical significance using Monte Carlo simulations.

Point Pattern Analysis - Point pattern analysis routines for univariate spatial data including nearest neighbour statistics, Ripley's K function and global spatial autocorrelation statistics.

STARS - Package for the analysis of areal data measured over time. STARS offers advanced methods of space-time analysis in a user-friendly graphical environment offering an array of dynamically linked graphical views.

SASEHS - Web-based health-GIS software providing functionality for geocoding, disease mapping, environmental modelling and exploratory spatial data analysis.

WinBUGS - Software for performing Bayesian inference using gibbs sampling (BUGS). Website includes links to versions of the software that integrate with R and GeoBUGS which provides capability to fit Bayesian spatial models that produce maps as output.

Head-Bang - Standalone software for map smoothing employing the head-banging algorithm.