A Spatial Decision Support System for Rent Estimation of Retail Spaces in Manhattan Using Geographically Weighted Regression and Spatial Regression

Author

Andie M. Migden Miller, CUNY Hunter CollegeFollow

Date of Award

Spring 5-3-2024

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Geography

First Advisor

Dr. Jochen Albrecht

Second Advisor

Dr. Shipeng Sun

Academic Program Adviser

Dr. Sean Ahearn

Abstract

This report outlines an automated, three-phase Spatial Decision Support System that creates models to estimate rent of retail spaces across Manhattan. First, enrich data with predictors. Second, optimize spatially aware neighborhood-level models by combining GWR, spatial regression, and non-spatial regression. Finally, visualize results in an Esri-based WebApp.

Recommended Citation

Migden Miller, Andie M., "A Spatial Decision Support System for Rent Estimation of Retail Spaces in Manhattan Using Geographically Weighted Regression and Spatial Regression" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/1160