Spatial Information Technology for Sustainable Development Goals by Dilip Kumar & R. B. Singh & Ranjeet Kaur

Author:Dilip Kumar & R. B. Singh & Ranjeet Kaur
Language: eng
Format: epub
ISBN: 9783319580395
Publisher: Springer International Publishing

The non-exact matching can be classified as hierarchical and fuzzy matching . Sometimes we create the lower units of a data set, for example a village boundary map, with their attributes. If we need higher hierarchy, such as with block-level, tehsil-level or district-level maps, we can add the village-level data set into a higher level or group the lower village-level data set into a higher block level, which is basically known as hierarchical matching (Fig. 6.11).

Fig. 6.11 Hierarchical matching

Generally, boundaries of different thematic maps do not match with each other. Some maps have administrative boundaries that can be matched but boundaries of the physical features cannot be matched, such as groundwater quality, rainfall , soil type and crops boundaries. If we want to know the groundwater quality and soil type of the same area then we have to merge all these data sets into a single map for multi-layer spatial analysis. Such matching is known as fuzzy matching (Fig. 6.12).

Fig. 6.12Fuzzy matching

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