Improving the Parcel Disclosure Process for the City of Redlands with GIS
Kelly Chan, Ph.D.
The Building and Safety Division of Redlands municipal government currently relies on various hard copy maps to perform the property disclosures that are required by state law. Budget and funding limitations discourage an enterprise GIS system solution to improve the process, as private industries with proven funding sources have built. Using available government data and a geodatabase format for imposing topology, this project has been designed to improve the hazard disclosure process for a small municipality with a limited budget. Preserving and improving the accuracy of disclosures dependant on preserving the quality of the primary data used, which are the hardcopy hazard maps. Parcel polygons were used in addition to street centerlines to provide a more complete base map. Hazard layers were overlaid onto the parcels found in the City so that the parcels within hazard zones can be identified. The accuracy of the layers was verified through a statistical analysis of error measurements on the accuracy of hazard boundary transfers, as indicated on the original source maps, so that disclosure transactions can be performed with a high degree of precision. Previously, the procedure for performing hazard disclosures was to manually measure the parcel in question and apply those measurements to each individual hazard map, starting with a known landmark. The new procedure is to simply locate the parcel on the map, since the boundaries are already present on the product along with the hazard boundaries. This reduces human error and redundancy of effort because the disclosure process has been reduced to a point and check procedure on a single map. A wall map will best serve the needs of the City of Redlands Building and Safety Division due to its low cost of production, ease of use, and lack of technologically induced downtime.
Kang, H. J. (2003). Improving the Parcel Disclosure Process for the City of Redlands with GIS (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/61