Daniel G. Brown
Daniel G. Brown
University of Washington, School of Environmental and Forest Sciences
Verified email at - Homepage
Cited by
Cited by
Using neural networks and GIS to forecast land use changes: a land transformation model
BC Pijanowski, DG Brown, BA Shellito, GA Manik
Computers, environment and urban systems 26 (6), 553-575, 2002
Rural land‐use trends in the conterminous United States, 1950–2000
DG Brown, KM Johnson, TR Loveland, DM Theobald
Ecological applications 15 (6), 1851-1863, 2005
Mapping community determinants of heat vulnerability
CE Reid, MS O’neill, CJ Gronlund, SJ Brines, DG Brown, AV Diez-Roux, ...
Environmental health perspectives 117 (11), 1730-1736, 2009
Path dependence and the validation of agent‐based spatial models of land use
DG Brown, S Page, R Riolo, M Zellner, W Rand
International journal of geographical information science 19 (2), 153-174, 2005
Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA
DG Brown, BC Pijanowski, JD Duh
Journal of environmental management 59 (4), 247-263, 2000
Spatial process and data models: Toward integration of agent-based models and GIS
DG Brown, R Riolo, DT Robinson, M North, W Rand
Journal of Geographical Systems 7 (1), 25-47, 2005
Availability of recreational resources and physical activity in adults
AVD Roux, KR Evenson, AP McGinn, DG Brown, L Moore, S Brines, ...
American journal of public health 97 (3), 493-499, 2007
Comparison of empirical methods for building agent-based models in land use science
DT Robinson, DG Brown, DC Parker, P Schreinemachers, MA Janssen, ...
Journal of land use science 2 (1), 31-55, 2007
Agent-based models of land-use and land-cover change
DC Parker, T Berger, SM Manson, WJ McConnell
LUCC, 2002
Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity
A Gonzalez, BJ Cardinale, GRH Allington, J Byrnes, K Arthur Endsley, ...
Ecology 97 (8), 1949-1960, 2016
Predicting vegetation types at treeline using topography and biophysical disturbance variables
DG Brown
Journal of Vegetation Science 5 (5), 641-656, 1994
Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl
DG Brown, DT Robinson
Ecology and society 11 (1), 2006
Empirical characterisation of agent behaviours in socio-ecological systems
A Smajgl, DG Brown, D Valbuena, MGA Huigen
Environmental Modelling & Software 26 (7), 837-844, 2011
Carbon stored in human settlements: the conterminous United States
G Churkina, DG Brown, G Keoleian
Global Change Biology 16 (1), 135-143, 2010
Advancing land change modeling: opportunities and research requirements
National Research Council, Division on Earth, Life Studies, ...
National Academies Press, 2014
Using the ODD protocol for describing three agent-based social simulation models of land-use change
JG Polhill, D Parker, D Brown, V Grimm
Journal of Artificial Societies and Social Simulation 11 (2), 3, 2008
A review of current calibration and validation practices in land-change modeling
J van Vliet, AK Bregt, DG Brown, H van Delden, S Heckbert, PH Verburg
Environmental Modelling & Software 82, 174-182, 2016
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts
DG Brown, SE Page, R Riolo, W Rand
Environmental Modelling & Software 19 (12), 1097-1109, 2004
An agent-based model of income inequalities in diet in the context of residential segregation
AH Auchincloss, RL Riolo, DG Brown, J Cook, AVD Roux
American journal of preventive medicine 40 (3), 303-311, 2011
Neighborhood resources for physical activity and healthy foods and their association with insulin resistance
AH Auchincloss, AVD Roux, DG Brown, CA Erdmann, AG Bertoni
Epidemiology 19 (1), 146-157, 2008
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