MOBILITY ENVIRONMENTAL RESEARCH STUDY A QUANTITATIVE METHOD FOR DESCRIBING TERRAIN FOR GROUND MOBILITY. VOLUME VII. DEVELOPMENT OF FACTOR-COMPLEX MAPS FOR GROUND MOBILITY.

Individual factor maps, derived as a product of the processes described in Volumes II, III, IV, and V of this report, were compiled into a set of factor-family maps (surface composition, surface geometry, vegetation, and hydrologic geometry) by a process of sequential superpositioning. The factor-fa...

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Bibliographic Details
Main Author: Dornbusch, William K., Jr
Other Authors: ARMY ENGINEER WATERWAYS EXPERIMENT STATION VICKSBURG MS
Format: Text
Language:English
Published: 1968
Subjects:
Cartography and Aerial Photography
Snow
Ice and Permafrost
(*MAPPING
TERRAIN)
(*TERRAIN
TRAFFICABILITY)
(*MAPS
AERIAL PHOTOGRAPHS)
SOILS
MOBILITY
PLANTS(BOTANY)
MILITARY REQUIREMENTS
VEHICLES
RIVERS
INLAND WATERWAYS
GEOMETRY
SURFACE PROPERTIES
MAPS
THAILAND
PREDICTIONS
TACTICAL WARFARE
PHOTOINTERPRETATION
Ice
permafrost
Online Access:http://www.dtic.mil/docs/citations/AD0833829
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0833829
Description
Summary:Individual factor maps, derived as a product of the processes described in Volumes II, III, IV, and V of this report, were compiled into a set of factor-family maps (surface composition, surface geometry, vegetation, and hydrologic geometry) by a process of sequential superpositioning. The factor-family maps were then compiled into two kinds of 'factor-complex' maps: areal factor-complex maps, which display the areal extent of discrete combinations of factor value classes of three factor families (namely surface geometry, surface composition, and vegetation); and linear factor-complex maps, which display the occurrences of linear features (i.e., streams, canals, lakeshores, etc.) and the surface composition and vegetation immediately associated with them. Each discrete factor complex, whether areal or linear, consists of a unique combination of factor value classes. Since the factors and factor value classes were chosen because of their significance to vehicle locomotion, it is presumed that each factor complex will affect vehicle performance in a specific and identifiable way. Because the data defining the factor complexes are precisely those required as terrain input values for the vehicle performance prediction model, the factor-complex maps furnish a comprehensive and concise data store for estimating the cross-country speeds of many military vehicles operating in terrains such as those of Thailand. (Author)

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