Inconsistency quality concerns for spatial database

One of the major challenges the Geographic Information System applications face today relates to quality of data. Better the quality of data, efficient is the application. Quality of data have multiple dimensions, these are completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use. The rationale of quality refers to the degree of excellence exhibited by the data in relation to portrayal of the actual scenarios. Inconsistency issues in spatial databases have major concern for quality data as it results in data integrity. The paper deliberates on quality concerns with reference to inconsistencies in spatial data. It has been observed that most of the inconsistencies are addressed through either algorithms or software. However, the aspects arising at data collection and preservation phase are much recommended while designing the database and thereby handling the inconsistencies. The paper discusses geometric and topological inconsistencies and its assessment through the proposed Triangular Pyramid Framework.