0 relating to information that identifies where particular features are on the earth's surface, such as oceans and mountains:
geospatial data/information
So you might suspect geospatial named entity recognition could have a role to play here, and it does.
Another area of concern is that the outputs of geospatial analyses often are visually impressive products whose accuracy, nonetheless, is difficult to assess.
Despite many advances, use of geospatial technologies is less widespread than it could be within the international agricultural research community and partner organizations.
Traditional, field-based pest/disease surveys are another area in which geospatial technologies are playing an increasingly important role.
Thus, hypothesis testing in geospatial analysis is analogous to the problems of identifying testable hypotheses in outputs of simulation models.
However, within development arenas, geospatial technologies find applications that extend far beyond micro-level, precision farming.
This problem reflects the fact that geospatial techniques are essentially used to create complex models.
These examples are indicative of some of the major challenges for scientists who wish to apply geospatial techniques.
