Spatial data preparation aims to make acquired spatial data fit for use. Images may require enhancements and corrections of the classification scheme of the data. Vector data also may require editing, such as the trimming of line overshoots at intersections, deleting duplicate lines, closing gaps in lines, and generating polygons. Data may require conversion to either vector or raster formats to match other data sets that will be used in analyses. Additionally, the data preparation process includes associating attribute data with the spatial features through either manual input or reading digital attribute files into the
The intended use of the acquired spatial data may require a less-detailed subset of the original data set, as only some of the features are relevant for subsequent analysis or subsequent map production. In these cases, data and/or cartographic generalization can be performed on the original data set.
Describe and explain standard spatial (and non-spatial) data input techniques (non RS) including the management of the data collection process (level 1 and 2).
Identify the impact of Geo-information handling on data quality (level 1).