Here is a list of tools that we created, along with links to the GitHub projects. More is brewing in the house.

Selected Software Packages

SMC is a Matlab/Octave toolbox for statistical modeling of spatial categorical data (e.g., land use, land cover and image post-classification results). Implemented methods include the spatial transition probability (or transiogram) and related spatial Markov chain methods, spatial multinomial models with mixed effects and related model inferences. Basic mapping capacities, sample data and tutorials are also included in the toolbox.

Selected Datasets

Here is a times series of datasets (in ESRI shapefile) of Chinese urban boundaries for the years of 2004, 2006, 2008 and 2010, derived from nighttime remote sensing imagery constrained to city development statistics.
Here is a times series of gridded datasets (1km spatial resolution, in ESRI Img) of PM2.5 concentration of the continental United States during 2000-2015; each of the dataset represents the average concentration of three sliding years.
Here contains a times series of gridded datasets (1km spatial resolution, in ESRI Img) of the projected GDP of China between 2014-2020. The datasets were generated using night time remote sensing imagery and economic survey data.
Here is a dataset (csv file) of the estimated weekly influenza incidences (ILI+) across 79 major cities of the United States between January 2005 and December of 2014. The ILI+ was produced by a combination of Google Flu Trends and CDC’s virologic surveillance reports.