Moira Zellner

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: Putting more thought into the method selection process and choosing the most appropriate method for the project can produce better results, according to expert opinion and a survey of modelers engaged in participatory processes.

TL;DR: The objective of this background paper is to describe emerging sources of Big Data, their use in urban research, and the challenges that arise with their use.

TL;DR: Empirical results from a multi-disciplinary project that support modeling complex processes of land-use and land-cover change in exurban parts of Southeastern Michigan point to the importance of collecting data on agents and their interactions when producing agent-based models.

TL;DR: In this article, the authors identify and formulate grand challenges that need to be overcome to accelerate the development and adaptation of Socio-environmental Systems (SES) modeling, including bridging epistemologies across disciplines, multi-dimensional uncertainty assessment and management; scales and scaling issues; combining qualitative and quantitative methods and data; furthering the adoption and impacts of SES modeling on policy; capturing structural changes; representing human dimensions in SES; and leveraging new data types and sources.