Well-tested computer simulation models of the growth, development, and
yield of annual crops are being used for a wide range of purposes, in
cluding the prediction of impacts of different management practices an
d land use systems on Food production, farmers' profitability and the
environment, Presentation and interpretation of simulation results fan
be significantly enhanced through the linking of models with software
that allows spatial visualization, Many users of crop simulation mode
ls, however, are located in institution in developing countries where
resources are particularly limited, Computer software to perform a var
iety of spatial analyses was written, which can be run on modest hardw
are without the need for costly third-party software. The software is
an integral part of the Decision Support System far Agrotechnology Tra
nsfer (DSSAT), a comprehensive crop simulation model and data system,
but can also be run in a stand-alone mode Users can run spatial simula
tion experiments and then analyze the results using (i) a geostatistic
al module to interpolate maps and produce probability surfaces from a
network of data points and (ii) a utility that calculates agronomic an
d economic output statistics from model simulations and maps the resul
ts as polygons, The suite of modules, which runs an an IBM-compatible
personal computer, interfaces with some widely used third-party GIS so
ftware, and the mapping facility enables users to export and import im
ages to a number of common file formats.