Application of the Gap Analysis Model in
Regional and International Programs in
Thomas E. Lacher Jr., G. Wesley Burnett,
Basil G. Savitsky, and Christopher Vaughan
One of the objectives of this research was to identify the minimum data requirements for the international application of the gap analysis model. Much research needs to be performed before specific data requirements can be listed; however, there are several findings and recommendations.
Costa Rica is a data-rich tropical country. Both the habitat map and the wildlife data were updates of previous mapping efforts. There are numerous countries that have neither the quality of land cover mapping nor a similar wildlife database upon which to build. Since wildlife data collection is expensive and habitat mapping requires both extensive time and competent staff who are trained in image analysis, alternative types of mapping efforts for data-poor countries follow.
If some form of land cover map already exists, it can be updated in similar fashion to this project, and probably with much less image analysis effort. Since the TM data were used to identify only four classes, and since the data were aggregated from 28.5 to 200 meters, the authors postulate that a sensor system which collects data at a coarser spatial resolution would be as effective for gap analysis as the TM data. Landsat MSS data are collected at a spatial resolution of