Daniel G. Brown

TL;DR: In this paper, the authors synthesize the dominant spatial and temporal trends in population, agriculture, and urbanized land uses, using a variety of data sources and an ecoregion classification as a frame of reference.

TL;DR: In this article, the authors presented a version of the Land Transformation Model (LTM) parameterized for Michigan's Grand Traverse Bay Watershed and explored how factors such as roads, highways, residential streets, rivers, Great Lakes coastlines, recreational facilities, inland lakes, agricultural density, and quality of views can influence urbanization patterns in this coastal watershed.

TL;DR: The evidence that heat waves can result in both increased deaths and illness is substantial, and concern over this issue is rising because of climate change as discussed by the authors, and adverse health impacts from h...

TL;DR: Two distinct notions of accuracy of land‐use models are identified and a tension between them is highlighted: the invariant region, i.e., the area where land‐ use type is almost certain, and thus path independent; and the variant region, which is the areaWhere land use depends on a particular series of events, and is thus path dependent.

TL;DR: This paper reviews five approaches to informing ABMs, provides a corresponding case study describing the model usage of these approaches, the types of data each approach produces, thetypes of questions those data can answer, and an evaluation of the strengths and weaknesses of those data for use in an ABM.