Matching disparate geospatial datasets and validating matches using spatial logic
Du, Heshan (2015) Matching disparate geospatial datasets and validating matches using spatial logic. PhD thesis, University of Nottingham.
In recent years, the emergence and development of crowd-sourced geospatial data has provided challenges and opportunities to national mapping agencies as well as commercial mapping organisations. Crowd-sourced data involves non-specialists in data collection, sharing and maintenance. Compared to authoritative geospatial data, which is collected by surveyors or other geodata professionals, crowd-sourced data is less accurate and less structured, but often provides richer user-based information and reflects real world changes more quickly at a much lower cost.
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