The main purpose of this paper is the formulation of a methodological approach for the definition of homogenous spatial clusters, taking into account both geographical and descriptive characteristics. The proposed methodology, is substantiated by SPiRAL (SPatial Integration and Redistricting ALgorithm), a constrained-based spatial clustering algorithm, whose successive steps focus on the analysis of the characteristics of the areas being integrated, the designation of the spatial clusters and the validity of a joining criterion. We applied the methodological approach and used SPiRAL to solve a realistic electoral redistricting problem. Namely, the redefinition of the electoral districts of the Prefecture of Lakonia in Greece. The resul...
Redistricting is the process of dividing space into districts or zones while optimizing a set of spa...
Cities all around the world are in constant evolution due to numerous factors, such as fast urbaniza...
We propose an application of a new method of regionalization and spatial clustering called RedCap. ...
The main purpose of this paper is the formulation of a methodological approach for the definition of...
Redistricting is the process of dividing a geographic area into districts or zones. This process has...
Redistricting is the process of dividing a geographic area into districts or zones. This process has...
Redistricting is the process of dividing a geographic area consisting of spatial units—often represe...
Redistricting is the process of dividing a geographic area consisting of spatial units—often represe...
Abstract—Redistricting is the process of dividing a geographic area consisting of spatial units—ofte...
In the 2019 Finnish parliamentary elections the district sizes ranged from 7 to 36 representatives. ...
he Clustering Analysis Methodology is used for employment and Regional Planning in Greece. The thirt...
Aggregating areas into larger regions is a common problem in spatial planning, geographic informatio...
In this paper, we introduce a new spatially constrained clustering problem called the max-p-regions ...
The paper presents an original application of the recently proposed Red- Cap method of spatial clust...
Redistricting is the process of dividing space into districts or zones while optimizing a set of spa...
Redistricting is the process of dividing space into districts or zones while optimizing a set of spa...
Cities all around the world are in constant evolution due to numerous factors, such as fast urbaniza...
We propose an application of a new method of regionalization and spatial clustering called RedCap. ...
The main purpose of this paper is the formulation of a methodological approach for the definition of...
Redistricting is the process of dividing a geographic area into districts or zones. This process has...
Redistricting is the process of dividing a geographic area into districts or zones. This process has...
Redistricting is the process of dividing a geographic area consisting of spatial units—often represe...
Redistricting is the process of dividing a geographic area consisting of spatial units—often represe...
Abstract—Redistricting is the process of dividing a geographic area consisting of spatial units—ofte...
In the 2019 Finnish parliamentary elections the district sizes ranged from 7 to 36 representatives. ...
he Clustering Analysis Methodology is used for employment and Regional Planning in Greece. The thirt...
Aggregating areas into larger regions is a common problem in spatial planning, geographic informatio...
In this paper, we introduce a new spatially constrained clustering problem called the max-p-regions ...
The paper presents an original application of the recently proposed Red- Cap method of spatial clust...
Redistricting is the process of dividing space into districts or zones while optimizing a set of spa...
Redistricting is the process of dividing space into districts or zones while optimizing a set of spa...
Cities all around the world are in constant evolution due to numerous factors, such as fast urbaniza...
We propose an application of a new method of regionalization and spatial clustering called RedCap. ...