Simulating agricultural land use changes in uganda using an agent-based model

Jingjing Li, Tonny J. Oyana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Agent based modeling, a processed based approach, is advantageous in simulating the interaction between human’s decision processes and environmental systems. In this study, we apply an agent-based model to simulate potential agricultural land use change scenarios in Uganda. The simulation model incorporates decision making processes at small holder and commercial farmers’ level on the basis of biophysical and socioeconomic factors and use these as basis to analyze how farmers’ decisions may affect agricultural land use changes. Geographic information system (GIS) tools are employed to build spatial relations between farmer agents and land cover system. Satellite imageries are used to represent the initial land cover condition and serve as observed land cover dataset to calibrate the simulated results. The results of the simulation model are promising and the model was successful at representing historical and future scenarios of agricultural land use patterns at national-level.

Original languageEnglish (US)
Title of host publicationGeo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings
PublisherSpringer Verlag
Pages458-470
Number of pages13
ISBN (Electronic)9783662457368
StatePublished - Jan 1 2015
Event2nd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014 - Ypsilanti, United States
Duration: Oct 3 2014Oct 5 2014

Publication series

NameCommunications in Computer and Information Science
Volume482
ISSN (Print)1865-0929

Other

Other2nd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014
CountryUnited States
CityYpsilanti
Period10/3/1410/5/14

Fingerprint

Land Use Change
Land Cover
Agent-based Model
Land use
Simulation Model
Satellite Imagery
Spatial Relations
Scenarios
Agent-based Modeling
Geographic Information Systems
Land Use
Satellite imagery
Decision Making
Geographic information systems
Decision making
Interaction
Model

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Li, J., & Oyana, T. J. (2015). Simulating agricultural land use changes in uganda using an agent-based model. In Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings (pp. 458-470). (Communications in Computer and Information Science; Vol. 482). Springer Verlag.

Simulating agricultural land use changes in uganda using an agent-based model. / Li, Jingjing; Oyana, Tonny J.

Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings. Springer Verlag, 2015. p. 458-470 (Communications in Computer and Information Science; Vol. 482).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, J & Oyana, TJ 2015, Simulating agricultural land use changes in uganda using an agent-based model. in Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings. Communications in Computer and Information Science, vol. 482, Springer Verlag, pp. 458-470, 2nd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014, Ypsilanti, United States, 10/3/14.
Li J, Oyana TJ. Simulating agricultural land use changes in uganda using an agent-based model. In Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings. Springer Verlag. 2015. p. 458-470. (Communications in Computer and Information Science).
Li, Jingjing ; Oyana, Tonny J. / Simulating agricultural land use changes in uganda using an agent-based model. Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings. Springer Verlag, 2015. pp. 458-470 (Communications in Computer and Information Science).
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