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Dean M. Hanink

Bio: Dean M. Hanink is an academic researcher from University of Connecticut. The author has contributed to research in topics: Portfolio & Land use. The author has an hindex of 15, co-authored 66 publications receiving 876 citations.


Papers
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TL;DR: This paper presents a methodology for coupling land use allocation models with a raster GIS, and the special structure of the generalized assignment problem is used here to handle large scale datasets.
Abstract: As geographic information systems (GIS) have moved from information storage and retrieval operations towards more decision support functions, there is a need for more integration of spatial analytical modules that can assist in locational decisions. This paper presents a methodology for coupling land use allocation models with a raster GIS. For raster systems, the integration of any decision module has been limited by the size of raster datasets that may contain hundreds of thousands of pixels. Therefore, decision heuristics have been used rather than exact methods such as mathematical programming models. For the problem of land use allocation, the special structure of the generalized assignment problem is used here to handle large scale datasets. The advantage of the mathematical programming approach is the additional information associated with the dual variables and opportunity costs that can be used in subsequent sensitivity analyses.

85 citations

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TL;DR: In this article, the authors examined the distance effect in the spatial demand for a specific type of recreation: the use of national parks in the USA and provided a review of the related spatial demand literature, including the travel cost model used in calculating economic values of national park and related places.
Abstract: Distance decay in spatial demand usually is taken as axiomatic. There are, however, a number of situations in which distance decay cannot be taken for granted. In recreational pursuits, for example, spatial interaction is often marked by a confounding distance effect in which nearby and more distant destinations are equally attractive. The research reported in this paper concerns an examination of the distance effect in the spatial demand for a specific type of recreation: the use of national parks in the USA. The paper contains a review of the related spatial demand literature, including the travel cost model used in calculating economic values of national parks and related places. A central-place-type model of park use is described and put into operation in the form of two linear spatial demand models. One focuses on regional demand for park use and the other focuses on a national market. The initial model specifications are expanded in order to examine the drift of their distance parameters over two va...

71 citations

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TL;DR: Results show that even in a complex megacity, the parcel-based land use classification technique, with parcel features extracted from airborne LiDAR, HRO, and GSV, is able to discriminate among different land use classes, with acceptable accuracies, and that integrating GSV into classification improves the classification accuracy of some urban landUse classes.

68 citations

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TL;DR: In this paper, the authors provide an examination of China's residential real estate market at the county level using data from that country's 2000 census, in the form of an aggregate (county-level) hedonic model specified in two versions.
Abstract: This paper provides an examination of China's residential real estate market at the county level using data from that country's 2000 census. The market is a new one, having only been fully established in 1998. The analysis in the paper is in the form of an aggregate (county-level) hedonic model specified in two versions. Global parameters results are estimated using spatial error model specifications while more local effects are estimated by geographically weighted regression. Global results are typical in that structural characteristics such as floor space and contextual characteristics such as level of in-migration are important in residential prices. Local results, however, indicate significant spatial variation in the effect of both structural amenities and locational context on housing prices. In a simpler specification, rents are shown to respond positively to both median house prices levels and the supply of apartments available at market prices, but also with significant spatial variation across China.

58 citations

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TL;DR: Geographically weighted colocation measures for categorical data are further developed in this paper by generalizing Leslie and Kronenfeld's global measure as well as specifying a local counterpart for each global statistic using two different types of spatial filters.
Abstract: The spatial correlation, or colocation, of two or more variables is a fundamental issue in geographical analysis but has received much less attention than the spatial correlation of values within a single variable, or autocorrelation. A recent paper by Leslie and Kronenfeld (2011) contributes to spatial correlation analysis in its development of a colocation statistic for categorical data that is interpreted in the same way as a location quotient, a frequently used measure in human geography and other branches of regional analysis. Geographically weighted colocation measures for categorical data are further developed in this article by generalizing Leslie and Kronenfeld's global measure as well as specifying a local counterpart for each global statistic using two different types of spatial filters: fixed and adaptive. These geographically weighted colocation quotients are applied to the spatial distribution of housing types to demonstrate their utility and interpretation.

52 citations


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Journal ArticleDOI
TL;DR: In this paper, an overview of multi-agent system models of land-use/cover change (MAS/LUCC) is presented, which combine a cellular landscape model with agent-based representations of decisionmaking, integrating the two components through specification of interdependencies and feedbacks between agents and their environment.
Abstract: This paper presents an overview of multi-agent system models of land-use/cover change (MAS/LUCC models). This special class of LUCC models combines a cellular landscape model with agent-based representations of decisionmaking, integrating the two components through specification of interdependencies and feedbacks between agents and their environment. The authors review alternative LUCC modeling techniques and discuss the ways in which MAS/LUCC models may overcome some important limitations of existing techniques. We briefly review ongoing MAS/LUCC modeling efforts in four research areas. We discuss the potential strengths of MAS/LUCC models and suggest that these strengths guide researchers in assessing the appropriate choice of model for their particular research question. We find that MAS/LUCC models are particularly well suited for representing complex spatial interactions under heterogeneous conditions and for modeling decentralized, autonomous decision making. We discuss a range of possible roles for MAS/LUCC models, from abstract models designed to derive stylized hypotheses to empirically detailed simulation models appropriate for scenario and policy analysis. We also discuss the challenge of validation and verification for MAS/LUCC models. Finally, we outline important challenges and open research questions in this new field. We conclude that, while significant challenges exist, these models offer a promising new tool for researchers whose goal is to create fine-scale models of LUCC phenomena that focus on human-environment interactions.

1,779 citations

Journal ArticleDOI
TL;DR: The GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches are surveyed using a literature review and classification of articles from 1990 to 2004 and taxonomy of those articles is provided.
Abstract: 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 in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA

1,694 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide an introduction to geographical information technology along with an historical perspective on the evolving role of Geographic Information Systems (GIS) in planning, overview relevant methods and techniques for GIS-based land-use suitability mapping and modeling, and identify the trends, challenges and prospects of GISbased land use suitability analysis.

1,416 citations

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TL;DR: This review reports on literature which explicitly addresses the strategic nature of facility location problems by considering either stochastic or dynamic problem characteristics, with applications ranging across numerous industries.

1,321 citations

Journal ArticleDOI

1,101 citations