作者: Nikhil Kaza , Charles Towe , Xin Ye
DOI: 10.1017/S1068280500002823
关键词: Operations management 、 Economic model 、 Land use, land-use change and forestry 、 Extreme value theory 、 Regional planning 、 Contrast (statistics) 、 Process (engineering) 、 Scale (ratio) 、 Dimension (data warehouse) 、 Computer science 、 Mathematical optimization
摘要: The need for models that forecast land use change spans many disciplines and encompasses approaches. Pattern-based were the first in which projections of at specific locations actual landscapes could be predicted. In contrast, recent economic have modeled underlying behavioral process produces change. This paper combines attributes from each approach into a hybrid model using multiple discrete continuous extreme value formulation allows conversion types, while also estimating intensity type conversion, is an important but often overlooked dimension. We demonstrate simulation routine, successfully predicts majority growth by type, time, location disaggregated scale, three-county region Maryland.