Next Article in Journal
Monitoring Ground Instabilities Using SAR Satellite Data: A Practical Approach
Previous Article in Journal
Assessing Spatial Information Themes in the Spatial Information Infrastructure for Participatory Urban Planning Monitoring: Indonesian Cities
Open AccessArticle

Modeling the Vagueness of Areal Geographic Objects: A Categorization System

1,*, 2 and 3
1
Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing 100871, China
2
Department of Geography, Texas State University, San Marcos, TX 78666, USA
3
Department of Geography, University of Wisconsin, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(7), 306; https://doi.org/10.3390/ijgi8070306
Received: 10 June 2019 / Revised: 24 June 2019 / Accepted: 12 July 2019 / Published: 17 July 2019
  |  
PDF [3657 KB, uploaded 19 July 2019]
  |  

Abstract

Modeling vague objects with indeterminate boundaries has drawn much attention in geographic information science. Because fields and objects are two perspectives in modeling geographic phenomena, this paper investigates the characteristics of vague regions from the perspective of the field/object dichotomy. Based on the assumption that a vague object can be viewed as the conceptualization of a field, we defined five categories of vague objects: direct field-cutting objects, focal operation-based field-cutting objects, element-clustering objects, object-referenced objects, and dynamic boundary objects. We then established a categorization system to formalize the semantic differences between vague objects using the fuzzy set theory. The proposed framework provides valuable input for the conceptualization, interpretation, and modeling of vague geographical objects. View Full-Text
Keywords: vague areal objects; fuzzy set; ontology; categorization system vague areal objects; fuzzy set; ontology; categorization system
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Liu, Y.; Yuan, Y.; Gao, S. Modeling the Vagueness of Areal Geographic Objects: A Categorization System. ISPRS Int. J. Geo-Inf. 2019, 8, 306.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top