
Jacek MalczewskiWestern University | UWO · Department of Geography
Jacek Malczewski
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Publications (85)
A majority of research on Spatial Multicriteria Analysis (SMCA) has been spatially implicit. Typically, SMCA uses conventional (aspatial) multicriteria methods for analysing and solving spatial problems. This paper examines emerging trends and research frontiers related to the paradigm shift from spatially implicit to spatially explicit multicriter...
A large amount of crowd-sourced geospatial data have been created in recent years due to the interactivity of Web 2.0 and the availability of Global Positioning System (GPS). This geo-information is typically referred to as volunteered geographic information (VGI). OpenStreetMap (OSM) is a popular VGI platform that allows users to create or edit ma...
Volunteered geographic information (VGI) has been applied in many fields such as participatory planning, humanitarian relief and crisis management. One of the reasons for popularity of VGI is its cost-effectiveness. However, the coverage and accuracy of VGI cannot be guaranteed. The issue of geospatial data quality in the OpenStreetMap (OSM) projec...
Volunteered geographic information (VGI) has been applied in many fields such as participatory planning, humanitarian relief and crisis management. One of the reasons for popularity of VGI is its cost-effectiveness. However, the coverage and accuracy of VGI cannot be guaranteed. The issue of geospatial data quality in the OpenStreetMap (OSM) projec...
Multicriteria analysis (MCA) is a set of systematic procedures for designing, evaluating, and selecting decision alternatives on the basis of conflicting and incommensurate criteria. The main motivation for integrating GIS and MCA stems from the need to make the geographic information technology more relevant for analysing decision (planning, manag...
A large amount of crowd-sourced geospatial data have been created in recent years due to the interactivity of Web 2.0 and the availability of Global Positioning System (GPS). This geo-information is typically referred to as volunteered geographic information (VGI). OpenStreetMap (OSM) is a popular VGI platform that allows users to create or edit ma...
Analytic Network Process (ANP) is a multicriteria decision analysis method. It provides a tool for identifying the relative importance of all the elements (criteria) influencing a goal of decision/evaluation problem (e.g. the problem of evaluating housing quality). The method allows for incorporating dependence relationships into the multicriteria...
Building consensus over the set of alternative solutions in a spatial decision making process promotes the sustainability, stability and longevity of spatial decisions. Web-based GIS–MCDA (Multicriteria Decision Analysis) facilitates consensus-building in the process of spatial decision making. The level of consensus among decision makers in the We...
This paper presents a Geographic Information System based Multicriteria Decision Making approach for evaluating accessibility to public parks in Calgary, Alberta. The approach involves the weighted linear combination with the entropy weighting method for obtaining the criterion (attribute) weights. The paper demonstrates a core-periphery pattern of...
This chapter provides an overview of GIS-based heuristic methods for tackling spatial multiobjective decision problems. The methods are classified into two groups. First, there is a group of basic heuristic methods that tend to be designed for solving specific spatial problems. This group includes methods such as: site suitability heuristics, site...
This chapter provides a discussion of the most often used GIS-MCDA approaches for group decision making It focuses on two distinctive classes of GIS-MCDA procedures for groups: conventional methods for aggregating preferences and geosimulation-based modeling. The former includes conventional GIS-MCDA methods that have been adapted for tackling conf...
This chapter traces the roots of GIS-MCDA and focuses on recent developments in GIS-MCDA research. It describes two research traditions underlying the development of GIS-MCDA: Operations Research and Management Sciences (OR/MS) and landscape architecture/planning. The research interests of these two traditions meet at the application of their appro...
Geographic Visualization, or geovisualization, refers to highly interactive approaches to the cartographic display of geospatial data, which go well beyond traditional thematic mapping. This interactivity allows for multiple perspectives on the same data, thereby supporting an analyst to explore the underlying phenomena and developing scientific hy...
This chapter outlines the connections between Geographic Information Science (GIScience), spatial analysis, and decision support. GIScience is concerned with the nature of geographic information and geographic phenomena. It provides theoretical foundations for Geographic Information Systems (GIS) and related geographic information technologies. A v...
This chapter overviews the sources of uncertainty in GIS-based multicriteria modeling and discusses methods for handing uncertainties in GIS-MCDA. It focuses on two approaches for handling uncertainties. First, the conventional, deterministic MCDA methods can be modified to take into account uncertainties associated with fuzzy (imprecise) and limit...
The implementation of GIS-based MCDA has evolved in step with advances in GIS and information technology in general. Historically, implementations were isolated through the use of specific scripting or programming languages and incompatible GIS data structures. The question of whether the MCDA module was tightly or loosely coupled with GIS modules...
This chapter discusses the main elements and concepts of MCDA. A number of approaches for defining decision problems have been suggested in the MCDA literature. At the most rudimentary level, a multi-criteria decision problem involves a set of alternatives that are evaluated on the basis of conflicting and incommensurate criteria according to the d...
Decision-making is a process. In many decision situations, the process operates across geographic, temporal, and organizational scales. Every change in scale brings about a new decision/evaluation problem, and consequently, the results of GIS-MCDA are scale dependent. This chapter is concerned with the issues of scale in GIS-MCDA. It defines the di...
Web-based GIS-MCDA encompasses a range of applications, in which GIS-MCDA functionality is distributed in a computer network and made available remotely through a Web interface. Mobile GIS-MCDA shares many technical considerations with Web-based GIS-MCDA, but presents a different focus. Mobile GIS-MCDA assists mobile users on mobile devices, and of...
This chapter focuses on the most often used conventional optimization approaches in GIS-MCDA. The methods can be classified into three groups: (i) methods for generating non-dominated solutions (the weighting, and constraint methods), (ii) the distance-based methods (such as compromise programming, goal programming, and reference point methods), an...
Although a wide range of multiattribute decision analysis (MADA) methods are available, the theoretical and applied research about GIS-MADA has focused on relatively small number of multiattribute procedures including: the weighted linear combination, ideal point methods, the analytic hierarchy process/analytic network process, and outranking metho...
Tehran, the capital of Iran and one of the largest cities in the world, faces uncontrolled urban expansion. Over the last few decades, urban expansion and traffic congestion in Tehran has greatly increased the demand for public parking facilities. In recent years, urban policy makers and the local municipalities of Tehran have focused their efforts...
The aim of this book was to provide a comprehensive account of theories, methods, and technologies involved in GIS-MCDA procedures. This chapter summarizes the role of each part of the book in: (i) explaining the fundamental concepts of MCDA and integrating those concepts into GIS-based methods, (ii) overviewing GIS-MCDA methods and demonstrating t...
This paper addresses the research question of how does the complexity of a decision task affect information acquisition strategies used by decision-makers in a GIS-based multicriteria decision analysis (MCDA)? It reports the results of an experimental study that investigated the effect of task complexity (information load) on information acquisitio...
The Ordered Weighted Averaging (OWA) is a multicriteria combination procedure. An underlying assumption of the conventional or global OWA model is the spatial homogeneity of its parameters. This paper presents a spatially explicit or local form of OWA. The local model is based on the range sensitivity principle, which suggests that criterion weight...
The long-term build-up of nutrients in agricultural fields has contributed to surface and ground water quality problems in many jurisdictions. The Ontario government has required the use of a decision support system, entitled NMAN, to develop nutrient management strategies for new or expanding livestock facilities. The NMAN software adds nutrient (...
The paper proposes an ontology-based multicriteria spatial decision support system (MC-SDSS) for the house selection problem. The house selection ontology serves as a foundation for spatial multicriteria decision analysis (MCDA) in the house selection domain. It is built using the Web Ontology Language (OWL). The ontology represents the spatial MCD...
Multicriteria Spatial Decision Support System (MC-SDSS) is one of the most common tools for solving the spatial decision problems. Using the MC-SDSS in the Web 2.0 environment enhances the collaborative decision making by providing a flexible problem-solving framework, where the relevant GIS-based multicriteria decision analysis (MCDA) tools and in...
The article focuses on one of the most often used GIS‐based multicriteria analysis methods: the weighted linear combination (WLC). The WLC model has traditionally been used as a global approach based on the implicit assumption that its parameters do not vary as a function of geographical space. This assumption is often unrealistic in real‐world sit...
This chapter focuses on a review of Geographic Information System-based Multicriteria Decision Analysis (GIS-MCDA). These
two distinctive areas of research can benefit from each other. On the one hand, GIS techniques and procedures have an important
role to play in analyzing spatial decision problems. Indeed, GIS is often recognized as a spatial de...
Most of the conventional approaches to the central facility location problem neglect the interaction of analyst and decision-maker during the locational choice process. This paper presents a new interactive approach to the central facility location problem. It is assumed that the problem is formulated by an analyst as a multiobjective optimization...
This discussion and overview of the site selection problem in the context of a quasi-satisficing decision rule combines two major rationality frameworks for locational decision making: utility maximization and bounded rationality. Their empirical and logical validity is discussed. From these concepts a quasi-satisficing rationality framework is dev...
A variety of GIS-based collaborative decision support procedures exist that aim at involving the public in community planning and decision-making processes. Although the importance of consensus-building methods has been recognized in the collaborative decision support applications, there has been very little research addressing the problem of measu...
This paper is concerned with developing a framework for GIS-based multicriteria group decision-making using the fuzzy majority approach. The procedure for solving a spatial group decision-making problem involves two stages. First, each decision-maker solves the problem individually. Second, the individual solutions are aggregated to obtain a group...
The paper presents an exploratory analysis of the geographical patterns of life expectancy at birth by sex in Poland. For
the purpose of spatial statistical analysis the geographical variation of life expectancy is partitioned into two components:
regional (global) trend and the local variation (or residuals). The spatial autocorrelations of the re...
This paper presents a framework for a collaborative WebGIS-Multicriteria Decision Analysis. It focuses on the underlying theories and techniques for designing and implementing the conceptual framework. The framework, called ParticipatoryGIS, has been implemented within the Google Maps environment; it consists of two main elements supporting the del...
This paper quantitatively evaluates the usability of a Web-based public participatory GIS (Web-PPGIS) and the degree of public engagement in the context of a real-world spatial planning application. The public participatory decision-making process utilizes ArgooMap to support local residents in an online procedure for determining the "best" locatio...
Central place theory is concerned with the size, number, functional characteristics, and spacing of settlements, which are nodal points for distribution of goods and services to surrounding market areas. Although many antecedents can be cited, the first explicit statement of the theory was made by Water Christaller and refined by August Losch in th...
This paper focuses on evaluating usability of a Web-based Public Participatory GIS (Web-PPGIS) in the context of a real-world application. The empirical study involves the use of ArgooMap to support users in an online public participatory decision-making process where the users are asked to find the “best” location for a new parkade in the downtown...
This paper presents a framework for a collaborative WebGIS-Multicriteria Decision Analysis. It focuses on the underlying concepts, theories and techniques for designing and implementing the conceptual framework. The framework, called ParticipatoryGIS.com, has been implemented in the Google Maps environment. It consists of two main elements supporti...
This paper focuses on the integration of GIS and an extension of the analytical hierarchy process (AHP) using quantifier-guided ordered weighted averaging (OWA) procedure. AHP_OWA is a multicriteria combination operator. The nature of the AHP_OWA depends on some parameters, which are expressed by means of fuzzy linguistic quantifiers. By changing t...
The objective of this paper is to incorporate the concept of fuzzy (linguistic) quantifiers into the GIS-based land suitability analysis via ordered weighted averaging (OWA). OWA is a multicriteria evaluation procedure (or combination operator). The nature of the OWA procedure depends on some parameters, which can be specified by means of fuzzy (li...
The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so. This paper surveys the GIS-based multicriteria decision analysis (GIS-MCDA) approaches using a literature review and classification of articles from 1990 to 2004. An electronic search indicated that over 300 articles appeared...
The ordered weighted averaging (OWA) is a family of multicriteria combination (aggregation) procedures. The generality of OWA is related to its capability to implement different combination operators by selecting appropriate order weights. By specifying suitable order weights it is possible to change the form of aggregation from the minimum-type co...
The ordered weighted averaging (OWA) is a family of multicriteria combination (aggregation) procedures. The generality of OWA is related to its capability to implement different combination operators by selecting appropriate order weights. By specifying suitable order weights it is possible to change the form of aggregation from the minimum-type co...
This chapter provides a critical review of GIS-based multicriteria decision analysis (GIS-MCDA) for supporting group (collaborative and participatory) decision making. The review is based on a survey of referred papers that have been published over the last 15 years or so. The chapter offers a classification of the GIS-MCDA approaches for group dec...
This chapter provides a critical review of GIS-based multicriteria decision analysis (GIS-MCDA) for supporting group (collaborative and participatory) decision making. The review is based on a survey of referred papers that have been published over the last 15 years or so. The chapter offers a classification of the GIS-MCDA approaches for group dec...
The main aim of this article is to analyze the relationships between the spatial patterns of residential burglaries and the socioeconomic characteristics of neighborhoods in London, Ontario. Relative risk ratios are applied as a measure of the intensity of residential burglary. The variation in the risks of burglary is modeled as a function of cont...
Commonly used GIS combination operators such as Boolean conjunction/disjunction and weighted linear combination can be generalized to the ordered weighted averaging (OWA) family of operators. This multicriteria evaluation method allows decision-makers to define a decision strategy on a continuum between pessimistic and optimistic strategies. Recent...
There are three main objectives of this monograph: (i) to provide an introduction to geographical information technology along with an historical perspective on the evolving role of Geographic Information Systems (GIS) in planning, (ii) to overview relevant methods and techniques for GIS-based land-use suitability mapping and modeling, and (iii) to...
To examine the observations of fishermen regarding the impact of a hurricane on a mangrove forest of the Mexican Pacific, twenty-two structured interviews using an Analytical Hierarchy Process (AHP) approach were conducted in four villages of the Teacapán-Agua Brava lagoon-estuarine system. The local fishermen were asked to assess the likelihood th...
This paper focuses on analyzing the spatial pattern of residential burglaries in London, Ontario. It discusses the problems associated with using geo-referenced data on residential burglary incidents. The relative risk ratio is applied as a measure of the intensity of residential burglaries. The highest relative risks of residential burglaries are...
This paper focuses on the parameterized-ordered weighted averaging (OWA) method. OWA is a family of multicriteria evaluation (or combination) rules. The proposed approach uses a parameter that serves as a mechanism for guiding multicriteria evaluation procedures. The parameter is incorporated into a method for obtaining the optimal order weights an...
This paper presents a spatial decision support tool that implements the Ordered Weighted Averaging (OWA) method. OWA is a family of multicriteria evaluation operators characterised by two sets of weights: criterion importance weights and order weights. We propose a highly interactive way of choosing, modifying, and fine-tuning the decision strategy...
Screening procedures are typically operationalized in GIS by means of Boolean operations using conjunctive or disjunctive decision rules. There are several conceptual and technical problems with the conventional screening methods. The methods require fairly detailed a priori information about the cut-o V values, aspiration (target) levels, or prefe...
The multiple criteria decision-making (MCDM) problem involves a set of alternative allocation plans evaluated on the basis of multiple, conflicting and noncommensurate criteria by several interest groups. These are often characterized by unique preferences with respect to the relative importances of criteria against which the alternative plans are...
PRELIMINARIES. Geographical Data, Information, and Decision Making. Introduction to GIS. Introduction to Multicriteria Decision Analysis. SPATIAL MULTICRITERIA DECISION ANALYSIS. Evaluation Criteria. Decision Alternatives and Constraints. Criterion Weighing. Decision Rules. Sensitivity Analysis. MULTICRITERIA-SPATIAL DECISION SUPPORT SYSTEMS. Spati...
Abstract The weighted linear combination,(WLC) technique is a decision rule for deriving composite maps,using GIS. It is one of the most often used decision models in GIS. The method, however, is frequently applied without full understanding of the assumptions underling this approach. In many case studies, the WLC model has been,applied incorrectly...
This paper offers a selection of techniques for visualizing spatial decision problems in the Multicriteria-Spatial Decision Support environment. The visualization techniques include: the column chart/map display, multicriteria scatterplot/map matrix, and value path/map display. The techniques are discussed in the context of a real-world multicriter...
This paper is concerned with developing a model for group decision making under multiple criteria. The multiple criteria group decision making (MCGDM)problem involves a set of feasible land use patterns that are evaluated on the basis of multiple, conflicting and noncommensurate criteria by a group of individuals. The model integrates the Analytic...
This paper presents four techniques for visualizing multicriteria location analysis—the decision matrix, payoff matrix, multicriteria scatterplot/map matrix, and value path/map display. These techniques are implemented within a raster GIS environment and illustrated by means of a real-world location problem in the City of Sarnia-Clearwater, Ontario...
The multicriteria location problem involves a set of potential (or feasible) locational alternatives and a set of criteria (attributes) on the basis of which the alternatives are evaluated. The problem requires that a choice be made among alternatives described by their attributes and with respect to the decision maker(s) preferences. Here, it is a...
The multiple criteria group decision-making problem involves a set of feasible alternatives that are evaluated on the basis of multiple, con¯ icting and noncommensurate criteria by a group of individuals. This paper is concerned with developing a GIS-based approach to group decision-making under multiple criteria. The approach integrates, within a...
Environmental protection agencies must administer and monitor compliance with environmental legislation and regulations, provide information to educate the public on the importance of environmental issues, and support the negotiation of environmental conflicts between socio-economic sectors. To perform these activities at the regional level require...
This is the second of two papers in which multiple criteria location problems (MCLPs) are discussed. In this paper two major approaches to locational decisionmaking are overviewed: optimizing decision rules (utility-function-based methods) and satisficing decision rules (goal-programming methods). Their advantages and disadvantages are discussed. F...
This is the first of two papers in which multiple criteria location problems (MCLPs) are discussed. In this paper the main aim is to formalize a discrete MCLP and to develop a generalized network model. A critical overview of various techniques for generating efficient solutions to multiple criteria decision problems is offered. The three most comm...
Environmental aspects of central facility location problems are considered. First, populations which are hypersusceptible to air pollutants are identified and then the relationships are outlined between central facility location and the quality of the environment in the context of the users' susceptibility to the pollutants. Three segments of the p...
Many researchers have agreed that the provision of high-quality health care in rural areas serves as a vital component in successful development planning. A key element of rural health care planning relates to the search for appropriate locations for health centers. This paper offers a test of a computer-based decision support system (DSS) called D...
The paper deals with problems of health services area delimitation. The starting point of the considerations is an analysis of standards for spatial organization of the health care system in Poland. The organizational structures of primary health care systems in Warsaw were compared with the standard. The present method embraces two research stages...
In this paper the authors present an application of optimization techniques to the real-life problem of the reorganization of health-service areas. The problem is formulated as a linear programming problem with three objective functions. The values of the three objective functions proved to vary significantly depending on the assumed hierarchy of t...
In the paper we formulate a mathematical model and perform a multiobjective analysis of the real-life problem of health service areas reorganization.The model is formalized in terms of linear programming with three objective functions. The values of these functions vary significantly depending on assumed hierarchy of the objectives. Nevertheless, t...
Examines methodological questions related to the selection of basic indicators of the quality of life in Greece in the years 1971-1980. The spatial system of the quality of life reveals inequalities between the living conditions in Athens or Salonika and thr rest of the country.-from English summary
The relative velocity between crystal and viscous solution has significant influence on the crystal mass growth rate. In this article a horizontal crystallizer with a stirrer is considered. It appears that in the case of laminar flow of viscous liquid, the relative velocity between crystal and solution doesn't depend on the revolution number of the...
This paper explores the relationships among the usability of a Web-based Public Participatory GIS (Web-PPGIS), the degree of pre-decisional engagement and decision outcomes in the context of a real-world participatory planning project. ArgooMap is used to support local residents in an online procedure for determining the "optimal" location of a new...
Integration of GIS and Multicriteria Decision Analysis (MCDA) in the Web environment has recently gained much attention in participatory (collaborative) spatial decision making. This research trend has focused on the development and use of Web-based collaborative spatial MCDA (SMCDA) systems. The systems are often based on the views of the experts...