@article {PIE466, title = {GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia}, journal = {International Journal of Applied Earth Observation and Geoinformation}, year = {2019}, note = {PI}, keywords = {Asia, GlobeLand30, intensity analysis, land cover change, land degradation, LTER-PIE, urbanization}, doi = {10.1016/j.jag.2019.01.003}, author = {Shafizadeh-Moghadam, H. and Minaei, M. and Feng, Y. and Pontius, R.G., Jr.} } @article {PIE465, title = {Intensity Analysis and the Figure of Merit{\textquoteright}s components for assessment of a Cellular Automata {\textendash} Markov simulation model}, journal = {Ecological Indicators}, year = {2019}, note = {PI}, keywords = {CA-Markov, cellular-automata, figure of merit, intensity analysis, land change, LTER-PIE, Validation}, doi = {10.1016/j.ecolind.2019.01.057}, author = {Varga, O.G. and Pontius, R.G., Jr. and Singh, S.K. and Szabo, S.} } @article {PIE496, title = {Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.}, journal = {GIScience \& Remote Sensing}, year = {2019}, note = {PI}, keywords = {China, GIS, intensity analysis, land change, LTER-PIE, Quanzhou City, regionalization}, doi = {10.1080/15481603.2019.1658420}, author = {Quan, B. and Pontius Jr, R.G. and Song H.} } @article {PIE451, title = {Comparison of Intensity Analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China}, journal = {Ecological Indicators}, volume = {89}, year = {2018}, note = {PI}, pages = {336-347}, keywords = {coastal area, intensity analysis, land change, land use dynamic degree, LTER-PIE, pattern, urbanization}, doi = {10.1016/j.ecolind.2017.12.057}, author = {Huang, B. and Huang, J. and Pontius, R.G., Jr. and Tu, Z.} } @article {PIE452, title = {Quantifying spatiotemporal patterns concerning land change in Changsha, China}, journal = {Landscape and Ecological Engineering}, year = {2018}, note = {PI}, keywords = {agricultural area, change components, intensity analysis, land cover, LTER-PIE, socio-economic development, urbanization}, doi = {10.1007/s11355-018-0349-y}, author = {Quan, B. and Ren, H. and Pontius, R.G., Jr. and Liu, P.} } @article {PIE440, title = {Rules to write mathematics to clarify metrics such as the land use dynamic degrees}, journal = {Landscape Ecology}, volume = {32}, number = {12}, year = {2017}, note = {PI}, pages = {2249-2260}, keywords = {annual change percentage, China, CLUDD, disturbance, intensity analysis, land change, LTER-PIE, mathematical notation}, doi = {10.1007/s10980-017-0584-x}, author = {Pontius, R.G., Jr. and Huang, J. and Jiang, W. and Khallaghi, S. and Lin, Y. and Liu, J. and Quan, B. and Ye, S.} } @article {PIE311, title = {Map errors that could account for deviations from a uniform intensity of land change}, journal = {International Journal of Geographical Information Science }, year = {2013}, abstract = {PI Plum Data}, keywords = {category, change, error, intensity analysis, LTER-PIE, time}, doi = {10.1080/13658816.2013.787618}, author = {Aldwaik, S. and Pontius, R.G., Jr.} }