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ISPRS Int. J. Geo-Inf. 2017, 6(2), 33; doi:10.3390/ijgi6020033

Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis

1
Departament d’Expressió Gràfica a l’Enginyeria, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Av. Diagonal, 647, 08028 Barcelona, Spain
2
Dirección General de Cartografía, SEDENA, Av. Industria Militar, 261, 53960 Naucalpan, Mexico
3
Departament de Projectes d’Enginyeria, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Av. Diagonal, 647, 08028 Barcelona, Spain
4
Departamento de Ciencias de la Computación, Universidad de las Fuerzas Armadas (ESPE), Av. Gral. Rumiñahui s/n, 170501 Sangolquí, Ecuador
5
Departament d’Enginyeria del Terreny, Cartogràfica i Geofísica, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Av. Doctor Marañon, 44-50, 08028 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Shih-Lung Shaw, Qingquan Li, Yang Yue and Wolfgang Kainz
Received: 28 October 2016 / Revised: 8 January 2017 / Accepted: 18 January 2017 / Published: 24 January 2017
(This article belongs to the Special Issue Intelligent Spatial Decision Support)
View Full-Text   |   Download PDF [4158 KB, uploaded 24 January 2017]   |  

Abstract

This article discusses the convenience of adopting an approach of Collective Spatial Analysis in the P/PGIS processes, with the aim of improving the collection and integration of knowledge and local expertise in decision-making, mainly in the fields of planning and adopting territorial policies. Based on empirical evidence, as a result of the review of scientific articles from the Web of Science database, in which it is displayed how the knowledge and experience of people involved in decision-making supported by P/PGIS are collected and used, a prototype of a WEB-GSDSS application has been developed. This prototype allows a group of people to participate anonymously, in an asynchronous and distributed way, in a decision-making process to locate goods, services, or events through the convergence of their views. Via this application, two case studies for planning services in districts of Ecuador and Italy were carried out. Early results suggest that in P/PGIS local and external actors contribute their knowledge and experience to generate information that afterwards is integrated and analysed in the decision-making process. On the other hand, in a Collective Spatial Analysis, these actors analyse and generate information in conjunction with their knowledge and experience during the process of decision-making. We conclude that, although the Collective Spatial Analysis approach presented is in a subjective and initial stage, it does drive improvements in the collection and integration of knowledge and local experience, foremost among them is an interdisciplinary geo-consensus. View Full-Text
Keywords: PGIS; PPGIS; SDSS; SIGIC; spatial decision-making; geo-consensus; Collective Spatial Analysis PGIS; PPGIS; SDSS; SIGIC; spatial decision-making; geo-consensus; Collective Spatial Analysis
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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).

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MDPI and ACS Style

Castillo-Rosas, J.D.; Diez-Rodríguez, J.J.; Jiménez-Vélez, A.F.; Núñez-Andrés, M.A.; Monguet-Fierro, J.M. Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis. ISPRS Int. J. Geo-Inf. 2017, 6, 33.

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