Land-Ownership Type Prediction: A GIS Analysis of Southeast Texas

Authors: Kristin Schoenecker*, Augustana College
Topics: Land Use
Keywords: land use, Texas, GIS,
Session Type: Illustrated Paper
Day: 4/11/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Canal St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


Big Thicket National Preserve (BITH) was created in 1974 to preserve its unique, biodiverse landscape in response to rampant resource extraction. However, due to a lack of resources allocated to the creation of accessible property ownership records in the region and the gradual purchasing process of the land within the set boundaries of the preserve, the boundaries dividing preservation land and private land are often unclear. Maps that should contain land ownership information for each parcel are often missing key data about the owner. This uncertainty inspired this study's goal of using a logistic regression model to calculate the likelihood that a given parcel is owned by the preserve or another owner. This study analyzed parcels that intersect units of BITH that surround the Neches River. Key processes completed in ArcGIS included using supervised classification on imagery from the National Agriculture Imagery Program to find areas of vegetation disturbance as well as using parcel metrics on data collected from Hardin, Jasper, Jefferson, Orange, and Tyler Country Appraisal Districts. Statistical analysis using JMP-in Version 4.0.2 by SAS yielded a model that could be used to identify land-ownership type on parcels with unknown landowners. The model performed with 96% accuracy on parcels of known ownership-type and had an RSquare value of .8444. Of the 43 unknown parcels, 14 were identified as likely belonging to BITH and 29 were identified as likely belonging to another owner. This data will help fill a crucial knowledge gap about land-use near and within BITH’s boundaries.

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