Geospatially-intelligent three-dimensional multivariate methods for multiscale dasymetric mapping of urban population: Application and performance in the Minneapolis-St. Paul metropolitan area

Golosov, Nikolay

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University of Northern Iowa

Geospatially-intelligent three-dimensional multivariate methods for multiscale dasymetric mapping of urban population: Application and performance in the Minneapolis-St. Paul metropolitan area

dc:creator Golosov, Nikolay

dc:date2021

Abstract

dc:description

1 PDF file (vi, 106 pages)

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Golosov, Nikolay
Contributors dc:contributor: Andrey N. Petrov, Chair

Subjects

dc:subject × 1

Minneapolis (Minn.)--Population--Mapping; St. Paul (Minn.)--Population--Mapping; Geographic information systems;

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Language dc:language: en

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Repository record dc:identifier: https://scholarworks.uni.edu/etd/1106
OAI identifier oai:identifier: oai:scholarworks.uni.edu:etd-2107

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Harvested from: University of Northern Iowa
Base URL: scholarworks.uni.edu/do/oai/
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

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citation

Golosov, Nikolay. Geospatially-intelligent three-dimensional multivariate methods for multiscale dasymetric mapping of urban population: Application and performance in the Minneapolis-St. Paul metropolitan area. 2021. https://scholarworks.uni.edu/etd/1106

Geospatially-intelligent three-dimensional multivariate methods for multiscale dasymetric mapping of urban population: Application and performance in the Minneapolis-St. Paul metropolitan area

Abstract

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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