Geocomputation, Geodemographics and Resource Allocation for Local Policing

Ashby, David I.; Longley, Paul

doi:10.1111/j.1467-9671.2005.00205.x

Cited by 92 publications

(69 citation statements)

References 12 publications

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“…This may not matter for the sorts of commercial and service planning applications to which geodemographic analysis is a strategic tool of proven value. However, geodemographics -benefiting from increased collaboration between commercial data vendors, governmental organizations and public sector researchers -is reentering areas of social research akin to those from which it originated (Ashby & Longley 2005;Williamson, Ashby & Webber 2005) and which include monitoring whether there is fair access to UK Universities for all socio-economic groups. These examples of applied data analysis are characteristically inductive, undertaking 'knowledge discovery' by geodemographic classification of extensive microdatasets.…”

Section: About Geodemographicsmentioning

confidence: 99%

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

Harris

Johnston

Burgess

2007

Popul Res Policy Rev

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Neighborhoods, ethnicity and school choice: developing a statistical framework for geodemographic analysisGeodemographics as the 'analysis of people by where they live' has origins in urban sociology and social mapping, and is experiencing a renaissance in applied spatial demography. However, some commentators have expressed reservations about the statistical limitations of common geodemographic practices, especially focusing on the potential internal heterogeneity of the geodemographic groupings, as well as the problem of clearly identifying predictor variables that might account for or explain the socio-economic patterns revealed by geodemographic analyses.In this paper we argue that geodemographic typologies are structured methods for making sense of the spatial and socio-economic patterns encoded within complex datasets such as national census data. By treating geodemographics as more a framework than a tool for analysis in its own right we are able to integrate it with the flexibility and statistical conventions offered by multilevel modeling. We demonstrate this with a case study of whether pupils from different types of neighborhood in Birmingham, England are more or less likely to attend their nearest state funded secondary school and how that likelihood varies with the ethnic composition of the neighborhood. In so-doing we build on previous research suggesting that ethnic segregation between schools is at least equal to that between neighborhoods in England and speculate in this regard on the consequences of current Government plans to extend choice to parents within a schools market.2

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Section: About Geodemographicsmentioning

confidence: 99%

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

Harris

Johnston

Burgess

2007

Popul Res Policy Rev

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“…Although geodemographic classification have received criticism (e.g. Goss 1995), they have developed and sustained a reputedly robust pedigree (Birkin et al 2002) in both the public and private sectors (Longley 2005), with numerous successful areas of application including health (Petersen et al 2011), retail (Thompson et al 2012), education (Singleton et al 2012), planning (Batey and Brown 2007) and policing (Ashby and Longley 2005).…”

Section: Introductionmentioning

confidence: 99%

The stability of geodemographic cluster assignments over an intercensal period

2016

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A geodemographic classification provides a set of categorical summaries of the built and socio-economic characteristics of small geographic areas. Many classifications, including that developed in this paper, are created entirely from data extracted from a single decennial census of population. Such classifications are often criticised as becoming less useful over time because of the changing composition of small geographic areas. This paper presents a methodology for exploring the veracity of this assertion, by examining changes in UK census-based geodemographic indicators over time, as well as a substantive interpretation of the overall results. We present an innovative methodology that classifies both 2001 and 2011 census data inputs utilising a unified geography and set of attributes to create a classification that spans both census periods. Through this classification, we examine the temporal stability of the clusters and whether other secondary data sources and internal measures might usefully indicate local uncertainties in such a classification during an intercensal period.

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“…For example, geodemographic profiles and geocomputation systems (Ashby & Longley, 2005) are IT applications that belong to both stage I as a tool and stage III as an information source. Also, first generation closed-circuit television (CCTV) systems are found at stage I, while second generation 'thinking eye' (CCTV) systems belong to stage II of the KMT stages of growth model.…”

Section: Research Proposition 3 and Stages Of Knowledge Management Tementioning

confidence: 99%

Capturing knowledge of police investigations: towards a research agenda

Dean

Fahsing

Glomseth

et al. 2008

Police Practice and Research

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The purpose of this paper is to articulate a set of interlinked research propositions about knowledge management systems in relation to police investigations and in particular the possibilities of capturing the investigative knowledge inherent in how experienced police understand the investigative process. Moreover, the paper addresses missing links in the literature between 'know-what' and 'know-how' relationships between knowledge management systems and police investigations. A series of policy recommendations are also outlined in relation to this research agenda.Keywords: stages of growth; value shop; knowledge resources; detectives; investigative thinking styles; investigation performance; communities of practice; tacit knowledge Introduction Capturing the knowledge that underpins a police investigation is a key task for an investigator. In fact, catching criminals cannot happen until an investigator first captures the 'knowledge' provided by forensics, intelligence, and interviewing victims, witnesses, and interrogating suspects.Hence, this paper is a hypothesis building exercise into how to best capture the sort of investigative knowledge which is more likely to promote successful police investigations. We conceptualize from a research point of view how investigative knowledge can be surfaced in the thinking styles of detectives/investigators and linked to knowledge management systems and the technologies that underpin knowledge creation and transfer.Given that our focus is limited to the investigative dimension of policing this does not imply that policing is only about crime control nor does it downplay the importance of community policing, public order maintenance, and the protection of civil liberties and human rights which is central to the notion of policing in a democracy (Engel & Burruss, 2004).The importance of this paper lies in the set of innovative research propositions presented and discussed which seek to address the missing links in the literature between 'know-what' and 'know-how' relationships between knowledge management and police investigations. 'Know-what' has stressed the importance of knowledge in police work. This paper makes a much-needed contribution to 'know-how' as it explores and sets out a future empirical research agenda about how to capture investigative knowledge in order to better manage police investigations.Initially, the paper outlines the propositional methodology used to hypothesize about the two interlinked domains of research interest -that of police investigations and knowledge

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Geocomputation, Geodemographics and Resource Allocation for Local Policing

Cited by 92 publications

References 12 publications

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis

The stability of geodemographic cluster assignments over an intercensal period

Capturing knowledge of police investigations: towards a research agenda

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