Brief Session Description

When analyzing value where location is an influential factor, the spatial dimension of the data plays a crucial role. We discuss two GIS models that are known in mass appraisal: Spatial Dependence Regressions (SLM/SEM/SARMA) and Geographically Weighted Regression Models (GWR). We will discuss the process of building these models beginning with exploratory data analysis for spatial effects, diagnostic tests for model calibration, model specification, and tests of fit using free and open-source tools.

Presentation Category

Assessment Technologies

Audience Expertise

Intermediate (Ideal for the participant with a general knowledge within the areas covered.)

Location

L 100 D

Start Date

25-9-2018 2:00 PM

End Date

25-9-2018 3:30 PM

Moderator

Terry Taylor, CAE, RES, Orange County, FL

Available for download on Thursday, November 01, 2018

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Sep 25th, 2:00 PM Sep 25th, 3:30 PM

Spatial CAMA Modeling Using Free, Open-Source Software

L 100 D

When analyzing value where location is an influential factor, the spatial dimension of the data plays a crucial role. We discuss two GIS models that are known in mass appraisal: Spatial Dependence Regressions (SLM/SEM/SARMA) and Geographically Weighted Regression Models (GWR). We will discuss the process of building these models beginning with exploratory data analysis for spatial effects, diagnostic tests for model calibration, model specification, and tests of fit using free and open-source tools.