Search Results

Automated Cartographic Generalization for Linear Map Features [microform]

Download or Read eBook Automated Cartographic Generalization for Linear Map Features [microform] PDF written by Bradford G. Nickerson and published by Ann Arbor, Mich. : University Microfilms International. This book was released on 1987 with total page 242 pages. Available in PDF, EPUB and Kindle.
Automated Cartographic Generalization for Linear Map Features [microform]
Author :
Publisher : Ann Arbor, Mich. : University Microfilms International
Total Pages : 242
Release :
ISBN-10 : OCLC:28833360
ISBN-13 :
Rating : 4/5 (60 Downloads)

Book Synopsis Automated Cartographic Generalization for Linear Map Features [microform] by : Bradford G. Nickerson

Book excerpt:


Automated Cartographic Generalization for Linear Map Features [microform] Related Books

Automated Cartographic Generalization for Linear Map Features [microform]
Language: en
Pages: 242
Authors: Bradford G. Nickerson
Categories: Cartography
Type: BOOK - Published: 1987 - Publisher: Ann Arbor, Mich. : University Microfilms International

DOWNLOAD EBOOK

Automated Cartographic Generalization for Linear Map Features
Language: en
Pages:
Authors: Bradford Jones Nickerson
Categories:
Type: BOOK - Published: 1987 - Publisher:

DOWNLOAD EBOOK

Effects of Automated Cartographic Generalization on Linear Map Features
Language: en
Pages: 328
Authors: John A. Young
Categories: Cartography
Type: BOOK - Published: 1991 - Publisher:

DOWNLOAD EBOOK

Automated Linear Generalization in Thematic Cartography
Language: en
Pages: 226
Authors: David Michael Brophy
Categories: Cartography
Type: BOOK - Published: 1972 - Publisher:

DOWNLOAD EBOOK

Description Approaches and Automated Generalization Algorithms for Groups of Map Objects
Language: en
Pages: 228
Authors: Haowen Yan
Categories: Science
Type: BOOK - Published: 2019-01-04 - Publisher: Springer

DOWNLOAD EBOOK

This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, group
Scroll to top