Regional assessment of environmental equity through GIS-based clustering and non-parametric statistical testing: a case study of Dallas County, Texas, USA

Ji, Minhe; Sunil, Thankam

doi:10.1504/ijram.2005.006610

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Chang (2005) commented that when developing models in a GIS, besides descriptive statistics and graphics, data exploration should also cover attribute data queries, spatial data queries and map manipulation. Ji and Sunil (2005) and Wang and Lee (2005) advocated using univariate statistical tests in order to understand the contribution of the different variables within a predictive model GIS. Dale (2005) and De Smith et al (2007) advocated the use of least‐square solutions when developing multiple linear regression models for GISs.…”

Section: The Importance Of Evaluating Gissmentioning

confidence: 99%

Testing geographical information systems: a case study in a fire prevention support system

Taylor

Higgins

Lisboa

2012

Journal of Systems and Information Technology

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PurposeThe purpose of this paper is to describe the development and evaluation of a geographical information system (GIS) testing framework that was used to test a fire prevention support GIS.Design/methodology/approachA year‐long case study was undertaken concerning the testing of a fire prevention support GIS in a UK fire and rescue service.FindingsThe GIS testing framework developed involved testing the different components of a GIS, testing their interactions, and then testing the system as a whole. Since GISs contain different components such as spatial analyses and map‐based output, this supports the adoption of a different testing framework compared to existing types of information systems.Research limitations/implicationsGISs will typically be used by organisations for decision making. Clearly if the information presented by a GIS is inaccurate, unrepresentative, or unreliable, then the decision‐making process can be undermined.Practical implicationsThis is particularly important with regard to GISs used by emergency services (such as the fire and rescue service studied) where lives could potentially be put at risk by erroneous information provided by such systems.Originality/valuePrevious research had indicated that GISs may be inadequately tested. The framework developed for GISs testing provided a systematic testing approach, reducing the likelihood of errors in such systems.

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Section: The Importance Of Evaluating Gissmentioning

confidence: 99%

Testing geographical information systems: a case study in a fire prevention support system

Taylor

Higgins

Lisboa

2012

Journal of Systems and Information Technology

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Sex Offender Residency and Spatial Equity

Grubesic

Murray

2008

Appl. Spatial Analysis

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Recent legislation at the local, state and federal levels has mandated spatial restriction zones around sensitive facilities, such as schools, daycares and public parks, to minimize the exposure children have to convicted sex offenders. A potential byproduct of this legislation is the clustering of offenders in certain areas outside restriction zones. Accordingly, efforts are now being directed toward ensuring an equitable spatial distribution of exposure to convicted sex offenders. In particular, laws are being enacted or resurrected to thwart such clusters. The question addressed in this paper is what approaches can be used to assist planners and public officials in the further development of policy for mitigating community impacts associated with the spatial distribution of sex offender residences. We review and develop methodologies for use in assessing and managing residential impacts. Application results suggest that these modeling approaches can provide insight for policy development useful to local and regional governments.

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An examination of the influence of environmental justice policy, Executive Order 12898, on the spatial concentration of manufacturing facilities in EPA Region 6 1988-2009

Moore

2017

J Environ Stud Sci

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Regional assessment of environmental equity through GIS-based clustering and non-parametric statistical testing: a case study of Dallas County, Texas, USA

Cited by 3 publications

References 19 publications

Testing geographical information systems: a case study in a fire prevention support system

Testing geographical information systems: a case study in a fire prevention support system

Sex Offender Residency and Spatial Equity

An examination of the influence of environmental justice policy, Executive Order 12898, on the spatial concentration of manufacturing facilities in EPA Region 6 1988-2009

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