two decades of GIS experience is used in the disciplines of land
records, CAMA change detection, and quantitative modeling.
experience includes "spatial-accounting" with governments and industry.
He has managed large-scale asset inventories for electric and
telecommunications utilities to calculate valuations to establish
utility base rates and set tariffs. Within government appraisal, he has
implemented digital cadastres for many counties. He has also developed
several software applications used for geo-referenced "street-view"
imaging to enable the desktop property appraisals approved by the 1996
doctoral dissertation investigated the use of artificial neural networks
for spatial pattern detection and extraction. This effort has been
incorporated in his recent research utilizing light-detection and
ranging (LiDAR) to automatically geo-reference CAMA sketches and perform
change detection of each sketch against LiDAR footprints. Other
experience with spatial modeling includes issues of community
development, consolidated planning, and transportation.