PIE LTER Publications
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2017. Methods to summarize change among land categories across time intervals. Journal of Land Use Science. 12:218-230.
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2013. Measuring the temporal instability of land change using the Flow matrix. International Journal of Geographical Information Science.
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2013. Map errors that could account for deviations from a uniform intensity of land change. International Journal of Geographical Information Science .
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2001. Land-use change model validation by a ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems & Environment. 85:239-248.
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2010. Land transition estimates from erroneous maps. Journal of Land Use Science. 5:31-44.
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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.
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2019. Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators.
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2015. Implications of using 2m versus 30 m spatial resolution data for suburban residential land change modeling. Journal of Environmental Informatics. 25:1-13.
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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.
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2019. GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia. International Journal of Applied Earth Observation and Geoinformation.
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2003. Estimating the uncertainty of land-cover extrapolations while constructing a raster map from tabular data.. Journal of Gegraphical Systems. 5:253-273.
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2010. Diagnostic tools to evaluate a spatial land change projection along a gradient of an explanatory variable. Landscape Ecology. 25:1319-1331.
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2011. Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing. 32:4407-4429.
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2018. Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance. Landscape and Ecological Engineering.
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2014. Creating spatially-explicit lawn maps without classifying remotely sensed imagery: The case of suburban Boston, Massachusetts, USA. Cities and the Environment. 7
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2019. Component intensities to relate difference by category with difference overall. International Journal of Applied Earth Observation and Geoinformation.
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2018. Comparison of Intensity Analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China. Ecological Indicators. 89:336-347.
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2003. Building a database of historic land cover to detect landscape change.. Biological Bulletin. 205:257-258.
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2015. Behavior-based aggregation of land categories for temporal change analysis. International Journal of Applied Earth Observation and Geoinformation. 35:229-238.
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2010. Assessing a predictive model of land change using uncertain data. Environmental Modeling & Software. 25:299-309.
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2004. Visualizing the rate at which the accuracy of a land change prediction decays.. Conference proceedings of the meeting of the University Consortium for Geographic Information Science. :29.
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2002. Uncertainty Analysis in Land Change Modeling: Constucting a Gridded Map from Tabular Data.. The Second International Conference on Geographic Information Science. :141-142.
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2005. Spatial distribution of land type in regression models of pollutant loading.. Conference Proceedings of the meeting of the American Society for Photogrammetry and Remote Sensing. :5.
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2008. Estimating the land transition matrix based on erroneous maps. Conference proceedings of Studying, Modeling and Sense Making of Planet Earth. :8.
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2005. Visualizing the certainty for extrapolations from models of landscape change. Conference proceedings of the meeting of Geocomputation. :6.