Next Article in Journal
Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread
Previous Article in Journal
Probabilistic Model of Random Encounter in Obstacle Space
Open AccessArticle

A Geospatial Application Framework for Directional Relations

Department of Industrial and Information Engineering and Economics, University of L’Aquila, 67100 L’Aquila, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(1), 33; https://doi.org/10.3390/ijgi8010033
Received: 6 December 2018 / Revised: 10 January 2019 / Accepted: 13 January 2019 / Published: 15 January 2019
Geographic data analysis is based on the use of spatial relations as a means of selecting and processing geometric data associated with geographic features. Starting from 1990, topological relations have been recognized as fundamental criteria in geographic data processing, leaving out other kinds of spatial relations, such as directional relations. The latter ones, despite having quite an important role in geospatial applications, have been developed as theoretical models but very little implemented in systems. We refer in this paper to the 5-intersection model for expressing projective relations that can be used to implement directional relations in various frames of reference. We design an application framework in Java and use the framework for answering various categories of queries involving directions. We finally outline how to use the framework for validating the cognitive adequacy of relations with user tests. View Full-Text
Keywords: Directional relations; Frames of reference; Geographic query processing Directional relations; Frames of reference; Geographic query processing
Show Figures

Figure 1

MDPI and ACS Style

Clementini, E.; Bellizzi, G. A Geospatial Application Framework for Directional Relations. ISPRS Int. J. Geo-Inf. 2019, 8, 33. https://doi.org/10.3390/ijgi8010033

AMA Style

Clementini E, Bellizzi G. A Geospatial Application Framework for Directional Relations. ISPRS International Journal of Geo-Information. 2019; 8(1):33. https://doi.org/10.3390/ijgi8010033

Chicago/Turabian Style

Clementini, Eliseo; Bellizzi, Giampaolo. 2019. "A Geospatial Application Framework for Directional Relations" ISPRS Int. J. Geo-Inf. 8, no. 1: 33. https://doi.org/10.3390/ijgi8010033

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

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop