Cognitive Transformation of Information from Urban Geographic Fields to Mental Maps

Author:

Beck Robert J.1,Wood Denis2

Affiliation:

1. Université de Montreal

2. North Carolina State University

Abstract

Research into mental maps by the investigators and others is reviewed with the intention of formulating an empirically derived model of the cognitive transformation of information from urban geographic fields to map representation in a medium-term (daily-weekly) time frame. It appears that subject variables (length of residence, travel experience, personality, short-term memory), touring variables (characteristic travel mode), environmental variables (complexity of urban form), and map variables (familiarity with and attitude toward conventional maps, type of mental map called for by investigator)-all contribute to levels of map performance as measured by quantitative content and/or veridicality analysis. The model proposed lists a number of operations such as motile and temporal synchronization, rotation, scaling, generalization, projection, symbolization and verbalization, which transform sensori-motor input into maps through coding, recoding, schema formation, and retrieval mechanisms.

Publisher

SAGE Publications

Subject

General Environmental Science

Reference44 articles.

Cited by 78 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial representations and mental maps of drivers;Современная зарубежная психология;2023-04-26

2. Urban Regeneration and Building Colours: Mapping Visual and Perceptual Dimensions of Dali’s Old Towns;Mapping Urban Regeneration;2023

3. Transcultural Place-Making in Little Havana;Journal of Latin American Geography;2022-05

4. Influence of Driving Task on Spatial Knowledge Acquisition;Advances in Social Sciences;2022

5. The Effect of Landmarks With Their Color on Learning Basketball Lay-Up in Beginners;Journal of Motor Learning and Development;2021-08-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3