Procedure for Estimating Weights of LEAM: User's Guide

Abstract

This document describes spatially explicit methodology to calibrate the Land use Evolution and impact Assessment Model (LEAM) using historic land use data. The LEAM model is used to predict urban growth and environmental impacts associated with urban growth. The model uses physical and social factors to simulate the dynamics of urban development. The Procedure for Estimating the Weights of LEAM (PEWL) uses logistic regression techniques and historic land use data to statistically calibrate the 13 subfactors used in LEAM. PEWL consists of computer programs to prepare samples, generate programs for regression analysis, and produce data files (estimated weights) for simulation using the Urban Sprawl Submodel of LEAM. The generated analysis programs from PEWL are executed using SAS, a common statistical package, to complete logistic estimation. PEWL was developed in FORTRAN language on Microsoft Developer Studio (Fortran PowerStation 4.0, 1993-1994) software. PEWL includes both the source and executable files of the FORTRAN programs. For demonstration purposes, the approach is demonstrated for a multi-county area around Fort Benning, GA.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA444340

Entities

People

  • Alan B. Anderson
  • George Z. Gertner
  • James Westervelt
  • Shoufan Fang

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Computer Programs
  • Computers
  • Construction
  • Digital Maps
  • Dynamics
  • Engineering
  • Environment
  • Geographic Information Systems
  • Information Systems
  • Language
  • Personal Information Managers
  • Regression Analysis
  • Standards
  • Training
  • Urban Planning
  • Urban Sprawl

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering.
  • Urban Planning and Geography.