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Abstract
Developing Countries: Agricultural Development Modeling in Sparse Data Environments
Track: Agriculture
Author(s): John Rodowca, Russ Cowart, Randy How
Many developing countries are faced with difficult social and economic decisions relating to allocation of limited financial and natural resource reserves. This paper examines an ArcGIS extension created for use in several South American countries. Environmental risk, agronomic suitability by crop, potential profitability by crop, optimal crop distribution or redistribution, and proposed areas for protected lands may be mapped. Model inputs and relational database design provide a structure within which data may readily be updated and/or densified. Statistical field sampling was used to develop spatial regression relationships that model key parameters in the absence of large scale data.
John Rodowca
i-cubed
201 Linden Street, 3rd Floor
Fort Collins , CO 80524
USA
Phone: 970-482-4400
Fax: 970-482-4499
E-mail: jrodowca@i3.com
Russ Cowart
i-cubed
President
201 Linden Street, 3rd Floor
Fort Collins 80524
USA
Phone: 970-482-4400
E-mail: rcowart@i3.com
Randy How
i-cubed
Software Development
201 Linden Street, 3rd Floor
Fort Collins 80524
USA
Phone: 970-482-4400
E-mail: rhow@i3.com