Methods to summarize change among land categories across time intervals. Journal of Land Use ScienceJournal of Land Use Science. 12:218-230.. 2017.
Rules to write mathematics to clarify metrics such as the land use dynamic degrees. Landscape EcologyLandscape Ecology. 32:2249-2260.. 2017.
SimiVal, a multi-criteria map comparison tool for land-change model projections. Environmental Modelling & Software.. 2016.
Implications of using 2m versus 30 m spatial resolution data for suburban residential land change modeling. Journal of Environmental Informatics. 25:1-13.. 2015.
Behavior-based aggregation of land categories for temporal change analysis. International Journal of Applied Earth Observation and Geoinformation. 35:229-238.. 2014.
Creating spatially-explicit lawn maps without classifying remotely sensed imagery: The case of suburban Boston, Massachusetts, USA. Cities and the Environment. 7. 2014.
Quantity, Exchange and Shift Components of Differences in a Square Contingency Table. International Journal of Remote Sensing. 35:7543-7554.. 2014.
Recommendations for using the Relative Operating Characteristic (ROC). Landscape Ecology. 29:367-382.. 2014.
The Total Operating Characteristic to measure diagnostic ability for multiple thresholds. International Journal of Geographical Information Science. 28:570-583.. 2014.
Using Fine Resolution Orthoimagery and Spatial Interpolation to Rapidly Map Turf Grass in Suburban Massachusetts. International Journal of Geospatial and Environmental Research. 1. 2014.
Future Suburban Development and the Environmental Implications of Lawns: A Case Study in New England, USA. Modeling of Land-use and Ecological Dynamics. :119-141.. 2013.
A growing concern? Examining the influence of lawn size on residential water use in suburban Boston, MA, USA Landscape and Urban Planning. 119:113-123.. 2013.
Map errors that could account for deviations from a uniform intensity of land change. International Journal of Geographical Information Science.. 2013.
Measuring the temporal instability of land change using the Flow matrix. International Journal of Geographical Information Science.. 2013.
Understanding the social determinants of lawn landscapes: A fine-resolution spatial statistical analysis in suburban Boston, Massachusetts, USA.. Landscape and Urban Planning. 111:25-33.. 2013.
Human-environment interactions across space and time: examining lawns and land change in the United States. Ph.D.. 2012.
Intensity Analysis to Unify Measurements of Size and Stationarity of Land Changes by Interval, Category, and Transition.. Landscape and Urban Planning. 106:103-114.. 2012.
Death to Kappa:birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing. 32:4407-4429.. 2011.
Research on coupled human and natural Systems (CHANS): Approach, challenges and strategies. Bulletin of the Ecological Society of America. 92:218-228.. 2011.
Sensitivity of a land change model to pixel resolution and precision of the independent variable. Environmental Modeling & Assessment. 16:37-52.. 2011.
Assessing a predictive model of land change using uncertain data. Environmental Modeling & Software. 25:299-309.. 2010.
Diagnostic tools to evaluate a spatial land change projection along a gradient of an explanatory variable. Landscape Ecology. 25:1319-1331.. 2010.