Use of data with fine spatiotemporal resolution to improve understanding of land use in San Diego

Authors: Deborah Milam*, San Diego State University
Topics: Geographic Information Science and Systems, Urban Geography
Keywords: spatiotemporal, urban
Session Type: Paper
Day: 4/12/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Lafayette, Marriott, River Tower Elevators, 41st Floor
Presentation File: No File Uploaded

Patterns in urban land use and development are dynamic and often change in response to a variety of factors. To understand the evolution of these patterns and their impacts on individuals and societies in urban areas, geographers draw from such early models and theories as Walter Christaller’s Central Place Theory and Johann Heinrich von Thünen’s model of agricultural land use to build sophisticated representations of urban land use dynamics. In the past several decades, the volume and pace of measurements and data generated about urban land use change has vastly increased, offering new opportunities to supplement attempts to understand these land use dynamics. One such recent data set is a quarterly measurement of assessed tax value for each parcel of land in San Diego County. These tax parcel valuations reflect changes in the prices of properties in San Diego during a period of fourteen years. By analyzing the locational and temporal patterns of changes in this parcel data, trends are detected which can then be matched with known areas of land use change in San Diego, specifically gentrification. The hope of the research is to show that by using a data-driven approach to analyze available information about land values, researchers find insights into the dynamics of the land uses that are not visible if the county and its sub-regions are only viewed through the lens of one or more land use theories and explanations are drawn from those general ideas about what should happen where.

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