GIS-based approach for participatory decision making and land suitability assessment

The objective of this paper is to present a GIS-based multivariate application for land suitability assessment with a public participation base. The approach takes into account the issues and concerns of the stakeholders, and employs a multivariate statistical procedure for classifying land units into land suitability groups, according to sectoral interests. Sets of spatial algorithms are incorporated into a GIS database to identify such groups. A participatory planning workshop was carried out to define the set of environmental attributes that determine the land-use pattern, in conformity with the interests, objectives, and values of the stakeholders. The approach allows experts to interpret the information generated by the stakeholders under methodologically rigorous conditions, with a minimum of spatial data, and with relatively low cognitive processing level demanded to the representatives of socioeconomic sectors, interest groups, and authorities.

[1]  Lucien Duckstein,et al.  A Multiple Criteria Decision-Making Approach to GIS-Based Land Suitability Evaluation , 1993, Int. J. Geogr. Inf. Sci..

[2]  Luis A. Bojórquez-Tapia,et al.  International lending and resource development in Mexico: can environmental quality be assured? , 1992 .

[3]  Frederick R. Steiner,et al.  Resource suitability: Methods for analyses , 1983 .

[4]  W-N Xiang,et al.  A Fuzzy-Group Multicriteria Decisionmaking Model and its Application to Land-Use Planning , 1992 .

[5]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[6]  F. Flores-Verdugo,et al.  Mangrove ecology, aquatic primary productivity, and fish community dynamics in the Teacapán-Agua Brava Lagoon-Estuarine system (Mexican Pacific) , 1990 .

[7]  Reza Banai-Kashani,et al.  A new method for site suitability analysis: The analytic hierarchy process , 1989 .

[8]  E. C. Pielou,et al.  The Interpretation of Ecological Data: A Primer on Classification and Ordination , 1985 .

[9]  I. Noy-Meir,et al.  Divisive Polythetic Classification of Vegetation data by Optimized Division on Ordination Components , 1973 .

[10]  G. Van Huylenbroeck,et al.  Multicriteria Analysis of the Conflicts between Rural Development Scenarios in the Gordon District, Scotland , 1995 .

[11]  J. Gower.  Some distance properties of latent root and vector methods used in multivariate analysis , 1966 .

[12]  Dominique Renaud,et al.  Advisory Committee: A Powerful Tool for Helping Decision Makers in Environmental Issues , 1997, Environmental management.

[13]  A R Banai-Kashani,et al.  Dealing with Uncertainty and Fuzziness in Development Planning: A Simulation of High-Technology Industrial Location Decisionmaking by the Analytic Hierarchy Process , 1990 .

[14]  Julia M. Wondolleck,et al.  Environmental Disputes: Community Involvement In Conflict Resolution , 1990 .

[15]  I. Noy-Meir,et al.  Data Transformations in Ecological Ordination: I. Some Advantages of Non-Centering , 1973 .

[16]  M. Hollick.  Environmental Impact Assessment as a planning tool , 1981 .

[17]  Luis A. Bojórquez-Tapia,et al.  Multivariate approach for suitability assessment and environmental conflict resolution , 1994 .

[18]  Kenneth N. Brooks,et al.  Hydrology and the Management of Watersheds , 1991 .

[19]  L. Graham.  Airborne video for near-real-time vegetation mapping , 1993 .

[20]  Eastman J. Ronald,et al.  RASTER PROCEDURES FOR MULTI-CRITERIA/MULTI-OBJECTIVE DECISIONS , 1995 .

[21]  Steve Selin,et al.  Developing a collaborative model for environmental planning and management , 1995 .

[22]  Giovanni Giavelli,et al.  Multicriteria analysis as a tool to investigate compatibility between conservation and development on Salina Island, Aeolian Archipelago, Italy , 1992 .

[23]  Frederick Steiner,et al.  The living landscape : an ecological approach to landscape planning , 2000 .

[24]  Xiaomei Xu,et al.  Applying neural net technology for multi-objective land use planning , 1991 .

[25]  F. Klijn,et al.  Ecoregions and ecodistricts: Ecological regionalizations for the Netherlands' environmental policy , 1995 .

[26]  F. Flores-Verdugo,et al.  Mangrove Ecosystems of the Pacific Coast of Mexico: Distribution, Structure, Litterfall, and Detritus Dynamics , 1992 .

[27]  Carol A. Ferguson,et al.  Statistical evaluation of an agricultural land suitability model , 1991 .

[28]  M. Flaherty,et al.  Marine shrimp aquaculture and natural resource degradation in Thailand , 1995 .

[29]  F. D. Pineda,et al.  Mapping the ecological structure of a territory: a case study in madrid (central spain) , 1995 .

[30]  R. Moreno-Sánchez,et al.  Multicriteria Group Decision-making Model for Environmental Conflict Analysis in the Cape Region, Mexico , 1997 .

[31]  Mark Gershon,et al.  Techniques for multiobjective decision making in systems management , 1986 .

[32]  Sachihiko Harashina.  Environmental dispute resolution process and information exchange , 1995 .

[33]  Gwo-Hshiung Tzeng,et al.  MULTICRITERIA EVALUATION FOR STRATEGIES OF IMPROVING AND CONTROLLING AIR-QUALITY IN THE SUPER CITY - A CASE-STUDY OF TAIPEI CITY , 1994 .

[34]  David R. Anderson,et al.  Mathematical Programming for Natural Resource Management , 1985 .

[35]  P. Digby,et al.  Multivariate Analysis of Ecological Communities , 1987, Population and Community Biology.

[36]  W. Ogryczak,et al.  The Multiple Criteria Location Problem: 1. A Generalized Network Model and the Set of Efficient Solutions , 1995 .

[37]  Carl Folke,et al.  Ecological limitations and appropriation of ecosystem support by shrimp farming in Colombia , 1994 .

[38]  E. C. Pielou.  The Interpretation of Ecological Data: A Primer on Classification and Ordination , 1984 .

[39]  Luis A. Bojórquez-Tapia,et al.  Design and development strategy for multi-media GIS to support environmental negotiation, administration, and monitoring at the regional level , 1996, Trans. GIS.

[40]  Ervin G. Schuster,et al.  PILT: Its Purpose and Performance , 1995 .

[41]  Antonio Cendrero,et al.  Environmental diagnosis for planning and management in the high Andean region: The biosphere reserve of Pozuelos, Argentina , 1993 .

[42]  Philip N. Omi,et al.  An application of multivariate statistics to land-use planning: classifying land units into homogeneous zones. , 1979 .