PIE LTER Publications

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A
Philbrick S..  2016.  Analyzing the response of land change models to intractable problems. M.S.
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Aldwaik S.Z., Onsted J.A., Pontius, Jr. R.G..  2015.  Behavior-based aggregation of land categories for temporal change analysis. International Journal of Applied Earth Observation and Geoinformation. 35:229-238.
C
Huang B., Huang J., Pontius, Jr. R.G., Tu Z..  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.
I
Varga O.G., Pontius, Jr. R.G., Singh S.K., Szabo S..  2019.  Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators.
Quan B., Jr R.G.Pontius, H. S.  2019.  Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.. GIScience & Remote Sensing.
M
Pontius, Jr. R.G., Krithivasan R., Sauls L., Yan Y., Zhang Y..  2017.  Methods to summarize change among land categories across time intervals. Journal of Land Use Science. 12:218-230.
R
Pontius, Jr. R.G., Huang J., Jiang W., Khallaghi S., Lin Y., Liu J., Quan B., Ye S..  2017.  Rules to write mathematics to clarify metrics such as the land use dynamic degrees. Landscape Ecology. 32:2249-2260.