Modelling Past, Present and Future Agricultural Land Use
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/24/2023
Time: 4:30 PM - 5:50 PM
Room: Governors Square 10, Sheraton, Concourse Level
Type: Paper, Hybrid session with both in-person and virtual presenters
Theme: Toward More Just Geographies
Curated Track:
Sponsor Group(s):
Annals of the American Association of Geographers, Geographic Information Science and Systems Specialty Group, Geographies of Food and Agriculture Specialty Group
Organizer(s):
Cláudia M. Viana Universidade de Lisboa
Chair(s):
Robert Pontius Clark University
Description:
Agricultural land systems are the principal biogeophysical source for delivering food security and ensuring nutritional benefits, as well as a variety of environmental, cultural, social, and economic services. Agricultural land systems constantly change over time. For instance, agricultural land encroachment, abandonment, intensification, and fragmentation influence global food production and security objectives. In a broad sense, advancement in GIS technology, development of more useful tools, and increase of data availability provide a formalized knowledge base concerning agricultural land systems at multiple scales and geographical contexts. With the integration of concepts, methods, and tools from GIS, there is a practical opportunity for modelling agricultural land-use and production dynamics in response to climatic change or policy reform scenarios, especially when operated in a spatially explicit, integrated, and multi-scale manner. This, in turn, can provide meaningful information for long-term policy formulation, planning, management, and investment, all of which are critical for tackling global food production and security challenges.
This AAG 2023 session focuses on the integration of geospatial analytics, computational methods, statistical techniques, and machine-learning models developed for modeling agricultural land use across multiple scales and geographical contexts to assist decision-making processes, anticipate future changes, and design robust strategies in the long term to manage impending challenges.
Presentations (if applicable) and Session Agenda:
Robert Pontius, Clark University |
Four fundamental questions to evaluate land change models with an illustration of a Cellular Automata – Markov model |
Claudia Viana, Universidade de Lisboa |
Spatial analysis, geospatial data and land-change models for modelling agricultural land changes |
Jorge Rocha, Universidade de Lisboa |
A machine learning and model-agnostic approach to identify the factors potentially explaining the use of agricultural land |
Non-Presenting Participants
| Role | Participant |
| Discussant | Jorge Rocha |
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Modelling Past, Present and Future Agricultural Land Use
Description
Type: Paper, Hybrid session with both in-person and virtual presenters
Date: 3/24/2023
Time: 4:30 PM - 5:50 PM
Room: Governors Square 10, Sheraton, Concourse Level
Contact the Primary Organizer
Cláudia M. Viana Universidade de Lisboa
claudiaviana@campus.ul.pt
Session Sponsored By
