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Keith C. Clarke
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2020 – today
- 2024
- [j47]Dong-Hyun Kim
, J. Michael Johnson, Keith C. Clarke, Hilary K. McMillan:
Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions. Environ. Model. Softw. 172: 105893 (2024) - 2022
- [j46]J. Michael Johnson, Tom Narock, Justin Singh-Mohudpur, Douglas Fils, Keith C. Clarke, Siddharth Saksena, Adam Shepherd, Sankar Arumugam, Lilit Yeghiazarian:
Knowledge Graphs to Support Real-Time Flood Impact Evaluation. AI Mag. 43(1): 40-45 (2022) - [j45]Damilola Eyelade
Impacts of spatiotemporal resolution and tiling on SLEUTH model calibration and forecasting for urban areas with unregulated growth patterns. Int. J. Geogr. Inf. Sci. 36(5): 1037-1058 (2022) - 2021
- [j44]Seda Salap-Ayça
Is less more? Experimenting with visual stacking of coincident maps for spatial global sensitivity analysis in urban land-use change modeling. Environ. Model. Softw. 145: 105181 (2021) - [j43]Hao Wu
A comprehensive quality assessment framework for linear features from Volunteered Geographic Information. Int. J. Geogr. Inf. Sci. 35(9): 1826-1847 (2021) - [j42]Xun Liang
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China. Comput. Environ. Urban Syst. 85: 101569 (2021) - [j41]Ankita Saxena
Development of SLEUTH-Density for the simulation of built-up land density. Comput. Environ. Urban Syst. 86: 101586 (2021) - 2020
- [j40]Manzhu Yu, Myra Bambacus, Guido Cervone, Keith C. Clarke
Spatiotemporal event detection: a review. Int. J. Digit. Earth 13(12): 1339-1365 (2020) - [j39]Chaowei Yang
Big Spatiotemporal Data Analytics: a research and innovation frontier. Int. J. Geogr. Inf. Sci. 34(6): 1075-1088 (2020) - [j38]Steven M. Manson
Methodological Issues of Spatial Agent-Based Models. J. Artif. Soc. Soc. Simul. 23(1) (2020) - [j37]Keith C. Clarke, J. Michael Johnson:
Calibrating SLEUTH with big data: Projecting California's land use to 2100. Comput. Environ. Urban Syst. 83: 101525 (2020) - [j36]Dandan Liu, Keith C. Clarke, Nengcheng Chen
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area. Comput. Environ. Urban Syst. 84: 101545 (2020) - [i1]Xun Liang, Qingfeng Guan, Keith C. Clarke, Shishi Liu, Bingyu Wang, Yao Yao:
Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China. CoRR abs/2010.11541 (2020)
2010 – 2019
- 2019
- [j35]Yihui Xiong, Renguang Zuo, Keith C. Clarke
A fractal model of granitic intrusion and variability based on cellular automata. Comput. Geosci. 129: 40-48 (2019) - [j34]Hao Wu
Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change. Int. J. Geogr. Inf. Sci. 33(5): 1040-1061 (2019) - [j33]Jiue-An Yang
Reshaping the urban hierarchy: patterns of information diffusion on social media. Geo spatial Inf. Sci. 22(3): 149-165 (2019) - [j32]Gargi Chaudhuri
Modeling an Indian megalopolis- A case study on adapting SLEUTH urban growth model. Comput. Environ. Urban Syst. 77 (2019) - [j31]Rongfang Lyu, Keith C. Clarke, Jianming Zhang, Xuehui Jia, Junli Feng, Jijun Li:
The impact of urbanization and climate change on ecosystem services: A case study of the city belt along the Yellow River in Ningxia, China. Comput. Environ. Urban Syst. 77 (2019) - 2018
- [j30]Su Yeon Han
Revisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real space. Int. J. Digit. Earth 11(5): 451-469 (2018) - [j29]Zhanglin Li
An automatic variogram modeling method with high reliability fitness and estimates. Comput. Geosci. 120: 48-59 (2018) - [j28]Seda Salap-Ayça
A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: an application for a cellular automata-based Urban growth and land-use change model. Int. J. Geogr. Inf. Sci. 32(4): 637-662 (2018) - [j27]Soyoung Park, Jae Hyun Lee
Capturing the heterogeneity of urban growth in South Korea using a latent class regression model. Trans. GIS 22(3): 789-805 (2018) - [c12]Erica Akemi Goto, Keith C. Clarke, Edward Keller:
A tool to compute the landslide degree of risk using R-Studio and R-Shiny. EM-GIS@SIGSPATIAL 2018: 16:1-16:7 - 2017
- [j26]Soyoung Park, Keith C. Clarke, Chuluong Choi
Simulating Land Use Change in the Seoul Metropolitan Area after Greenbelt Elimination Using the SLEUTH Model. J. Sensors 2017: 4012929:1-4012929:18 (2017) - [c11]Su Yeon Han
Animated Flow Maps for Visualizing Human Movement: Two Demonstrations with Air Traffic and Twitter Data. LENS@SIGSPATIAL 2017: 5:1-5:10 - [c10]Jorge Chen
Modeling Standards and File Formats for Indoor Mapping. GISTAM 2017: 268-275 - [c9]Keith C. Clarke:
Improving SLEUTH Calibration with a Genetic Algorithm. GISTAM 2017: 319-326 - 2016
- [j25]Weisheng Hou, Liang Yang
Assessing quality of urban underground spaces by coupling 3D geological models: The case study of Foshan city, South China. Comput. Geosci. 89: 1-11 (2016) - [j24]Keith C. Clarke
A multiscale masking method for point geographic data. Int. J. Geogr. Inf. Sci. 30(2): 300-315 (2016) - 2014
- [j23]Anil Akin, Keith C. Clarke
The impact of historical exclusion on the calibration of the SLEUTH urban growth model. Int. J. Appl. Earth Obs. Geoinformation 27: 156-168 (2014) - [j22]Hao Wu
Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan, China. Int. J. Appl. Earth Obs. Geoinformation 32: 67-78 (2014) - [j21]Thomas J. Pingel
Perceptually Shaded Slope Maps for the Visualization of Digital Surface Models. Cartogr. Int. J. Geogr. Inf. Geovisualization 49(4): 225-240 (2014) - [j20]Reihaneh Peiman, Keith C. Clarke
The Impact of Data Time Span on Forecast Accuracy through Calibrating the SLEUTH Urban Growth Model. Int. J. Appl. Geospat. Res. 5(3): 21-35 (2014) - [j19]Gargi Chaudhuri
Temporal Accuracy in Urban Growth Forecasting: A Study Using the SLEUTH Model. Trans. GIS 18(2): 302-320 (2014) - 2012
- [j18]Germana Manca
Waiting to Know the Future: A SLEUTH Model Forecast of Urban Growth with Real Data. Cartogr. Int. J. Geogr. Inf. Geovisualization 47(4): 250-258 (2012) - [j17]Jeff Onsted, Keith C. Clarke
The inclusion of differentially assessed lands in urban growth model calibration: a comparison of two approaches using SLEUTH. Int. J. Geogr. Inf. Sci. 26(5): 881-898 (2012) - [c8]Germana Manca
Atmospheric releases during the 2003 glacier wildfires: Mapping, analysis and modeling. IGARSS 2012: 5360-5363 - 2010
- [j16]Johan Beekhuizen, Keith C. Clarke
Toward accountable land use mapping: Using geocomputation to improve classification accuracy and reveal uncertainty. Int. J. Appl. Earth Obs. Geoinformation 12(3): 127-137 (2010) - [j15]Qingfeng Guan
A general-purpose parallel raster processing programming library test application using a geographic cellular automata model. Int. J. Geogr. Inf. Sci. 24(5): 695-722 (2010)
2000 – 2009
- 2009
- [j14]Yosoon Choi, Hyeong-Dong Park, Choon Sunwoo, Keith C. Clarke:
Multi-criteria evaluation and least-cost path analysis for optimal haulage routing of dump trucks in large scale open-pit mines. Int. J. Geogr. Inf. Sci. 23(12): 1541-1567 (2009) - 2008
- [j13]Karl E. Grossner
Defining a Digital Earth System. Trans. GIS 12(1): 145-160 (2008) - 2007
- [j12]Charles Dietzel, Keith C. Clarke
Toward Optimal Calibration of the SLEUTH Land Use Change Model. Trans. GIS 11(1): 29-45 (2007) - [j11]Jo Wood
Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup. IEEE Trans. Vis. Comput. Graph. 13(6): 1176-1183 (2007) - [c7]Aidan Slingsby
Interactive Tag Maps and Tag Clouds for the Multiscale Exploration of Large Spatio-temporal Datasets. IV 2007: 497-504 - 2006
- [j10]Charles Dietzel, Keith C. Clarke
Decreasing Computational Time of Urban Cellular Automata Through Model Portability. GeoInformatica 10(2): 197-211 (2006) - [j9]Charles Dietzel, Keith C. Clarke
The effect of disaggregating land use categories in cellular automata during model calibration and forecasting. Comput. Environ. Urban Syst. 30(1): 78-101 (2006) - [c6]Nicholas Gazulis, Keith C. Clarke:
Exploring the DNA of Our Regions: Classification of Outputs from the SLEUTH Model. ACRI 2006: 462-471 - [c5]Qingfeng Guan
GeoComputation in the Grid Computing Age. W2GIS 2006: 237-246 - 2005
- [j8]Charles Dietzel, Martin Herold
Spatio-temporal dynamics in California's Central Valley: Empirical links to urban theory. Int. J. Geogr. Inf. Sci. 19(2): 175-195 (2005) - [j7]Martin Herold, Helen Couclelis, Keith C. Clarke
The role of spatial metrics in the analysis and modeling of urban land use change. Comput. Environ. Urban Syst. 29(4): 369-399 (2005) - 2004
- [j6]Charles Dietzel, Keith C. Clarke
Spatial Differences in Multi-Resolution Urban Automata Modeling. Trans. GIS 8(4): 479-492 (2004) - [j5]Noah Charles Goldstein, J. T. Candau, Keith C. Clarke
Approaches to simulating the "March of Bricks and Mortar". Comput. Environ. Urban Syst. 28(1-2): 125-147 (2004) - [c4]Charles Dietzel, Keith C. Clarke:
Replication of Spatio-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata. ACRI 2004: 523-532 - [c3]Sarah Nusser, Michael F. Goodchild, Keith C. Clarke, Leslie L. Miller:
Geospatial Information in Complex Mobile Field Settings. DG.O 2004 - 2003
- [j4]Sarah Nusser, Leslie L. Miller, Keith C. Clarke, Michael F. Goodchild:
Geospatial IT for mobile field data collection. Commun. ACM 46(1): 45-46 (2003) - [j3]Keith C. Clarke
Geocomputation's future at the extremes: high performance computing and nanoclients. Parallel Comput. 29(10): 1281-1295 (2003) - 2002
- [c2]Keith C. Clarke, Andrea Nuernberger, Thomas J. Pingel, Du Qingyun:
Project Battuta: User Interface Design for a Wearable Field Computer. DG.O 2002 - [c1]Sarah Nusser, Les Miller, Keith C. Clarke, Michael F. Goodchild:
A User-Centered Framework for Next-Generation Field Data Collection. DG.O 2002 - 2000
- [j2]Keith C. Clarke, Brad Parks, Michael Crane:
Guest Editorial: Selected Papers from the Fourth International Conference on Integrating Geographic Information Systems and Environmental Modeling (GIS/EM4). Trans. GIS 4(3): 177-180 (2000)
1990 – 1999
- 1998
- [j1]Keith C. Clarke, Leonard J. Gaydos:
Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore. Int. J. Geogr. Inf. Sci. 12(7): 699-714 (1998)
Coauthor Index
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