| A GIS SOLUTION TO LAND CONSOLIDATION TECHNICAL
          PROBLEMS IN MOROCCOEl Hassane SEMLALI, Morocco
 Key words:  land consolidation, reallocation,
          conceptual data model, CONGOO, database, GIS, parcel, soil classes,
          precision. 
 AbstractIn Morocco, among important agricultural projects, land
          consolidation constitutes a dynamic mean for the development of the
          rural world. Unfortunately, land consolidation projects do have a
          great number of administrative and technical problems. Our objective in this study is to show the contribution of GIS to
          find a solution to these technical problems. This solution concerns
          especially land consolidation in irrigated areas, it is based on five
          main key points: 
            Establish a conceptual data modelConceive a prototype databaseFind a solution to computational and overlaying problemsExamine a solution to land redistribution problems, taking into
              account the constraints of the project and the landowners'
              requirementsQuantify the reallocation process, estimate the precision and
              analyze the results. 
            Using CONGOO formalism, a conceptual data model is
            established. This model illustrates both data before and after land
            consolidation and their relationships. According to this formalism,
            the established CDM contains 2 layers of geographical objects, 20
            classes, 29 objects, 4 relationships of structure, a constraint and
            near two thousands of topological relationships. Then a database is built based on the georelational model of
          ArcInfo. The spatial information identified in the conceptual level is
          assigned the corresponding entities in ArcInfo representation.
          Entities are classified as function of their geometric representation,
          such as point, line and polygon. After that, we suggest a methodology to solve computational,
          overlying and reallocation problems, this methodology tries to find
          solutions to imposed constraints such that: 
            Landowners' requirementsThe reallocation according to the habitatThe reallocation according to the soil class that occupies the
              greatest area in a land ownershipThe reallocation on very neighbor soils of the situation before
              land consolidationThe reallocation closest to the old position of each land
              ownership. The outline of the proposed methodology is subdivided into three
          parts: 
            The first part is a computed redistribution that may be
              conducted using four different methods depending on the
              requirements of the farmers, the administration priorities and the
              constraints imposed by the project. After analysis, the leader of
              the project may choose the solution that satisfies the most
              important criteria and the repartition of the redistributed soils.The second part is a graphical redistribution based on the
              results obtained in the first part. It is an iterative procedure,
              which determines the final position of the new properties taking
              into account the imposed tolerances on the redistributed values. The third part of this methodology concerns the analysis
              of the results obtained. The parameters used in this analysis are:
              parcels displacements with respect to old positions, satisfied
              constraints and the percentage of soil areas before and after
              redistribution process. A global factor of satisfaction is used to
              evaluate the performance of the achieved results for the whole
              project. The proposed methodology was conducted to three applications. The
          results show that the graphical redistribution is more time consuming
          than the computed redistribution, all constraints are satisfied, most
          of the properties are redistributed near their old positions, most
          landowners receive equivalent percentage of soil classes, and the
          redistributed values do meet the allowed tolerance. This study terminates with the estimation of the precision of
          overlay operations in land consolidation projects. Results of
          overlying parcels to soil classes are influenced by three main
          factors: the coordinates of soil class limits, shape of parcels and
          intersection angles. The precision of the attributed areas is very
          influenced by that of soil class limits. 
 CONTACTEl Hassane SemlaliInstitut Agronomique et Vétérinaire Hassan II
 Filière de formation en Topographie
 B.P. 6202
 Rabat
 MOROCCO
 Tel. + 212 37 68 01 80
 Fax + 212 37 77 81 35
 Email: e.semlali@iav.ac.ma
 24 March 2001 
 
          
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