An evaluation on human interpretation error in geographic data

As many types of technologies for observation or of applications using GIS have developed, many types of Geographical data for GIS have rapidly appeared. The geographical data error would lead to inaccuracy in GIS application results. The human interpretation error in geographical data is one of these errors. This error appears since the constitution of the land use data, because of human interpretation in production process. This error can have a critical impact to analysis results in comparison with other errors included land use data. In this study, during the overlay methods process, occurred errors can be divided to three types of errors, human interpretation, classification definition and data resolution. The classification definition error can be solved by coordinating the definitions of used data. Also, the data resolution error can be reduced by buffer analysis. Then, to exclude above two errors, the human interpretation error in the published land use data is evaluated, and the degree of human interpretation error is revealed.