A new geodemographic classification of the influence of neighbourhood characteristics on crime: The case of Leeds, UK

2022 ◽  
Vol 92 ◽  
pp. 101748
Author(s):  
Usman Lawal Gulma
Keyword(s):  
Neighbourhood Characteristics ◽  
Geodemographic Classification

scholarly journals Developing a National Geodemographic Classification of Workplace Zones

2020 ◽  
Vol 13 (4) ◽  
pp. 959-983
Author(s):  
Samantha Cockings ◽  
David Martin ◽  
Andrew Harfoot
Keyword(s):  
Small Area ◽  
The Novel ◽  
Individual Level ◽  
Digital Mapping ◽  
Small Area Level ◽  
Novel Concept ◽  
The Uk ◽  
Geodemographic Classification ◽  
Country Specific

Abstract Geodemographics conventionally refers to the classification of geographical areas based on the socioeconomic characteristics of their residents. In this paper, we develop the novel concept of a classification based on the characteristics of workers and workplaces. The paper describes the implementation of this concept at the small area level for the whole of the UK, which has involved reconciliation of three slightly different national censuses. It presents a summary of the resulting classification (a Classification of Workplace Zones for the UK (COWZ-UK)) and an innovative validation exercise based on comparison with a very large digital mapping dataset containing specific workplace locations. The openly available classification provides important new insights into the characteristics of workers and workplaces at the small area level across the UK, which will be useful for analysts in a range of sectors, including health, local government, transport and commerce. The generic concept of a classification based on the characteristics of workers and workplaces within a set of workplace zones is transferable to other countries, with refinement to reflect context- and country-specific phenomena. The concept can be readily implemented by census agencies or other data providers where individual level worker and workplace data are available.

scholarly journals An Open Source Geodemographic Classification of Small Areas in the Republic of Ireland

2016 ◽  
Vol 11 (2) ◽  
pp. 183-204 ◽  
Author(s):  
Christopher Brunsdon ◽  
Martin Charlton ◽  
Janette E. Rigby
Keyword(s):  
Open Source ◽  
Republic Of Ireland ◽  
Small Areas ◽  
The Republic ◽  
Geodemographic Classification

scholarly journals A new geodemographic classification of commuting flows for England and Wales

2017 ◽  
Vol 32 (4) ◽  
pp. 663-684 ◽  
Author(s):  
Stephen Hincks ◽  
Richard Kingston ◽  
Brian Webb ◽  
Cecilia Wong
Keyword(s):  
England And Wales ◽  
Commuting Flows ◽  
Geodemographic Classification

scholarly journals A geodemographic classification of sub-districts to identify education inequality in Central Beijing

2018 ◽  
Vol 70 ◽  
pp. 59-70 ◽  
Author(s):  
Lili Xiang ◽  
John Stillwell ◽  
Luke Burns ◽  
Alison Heppenstall ◽  
Paul Norman
Keyword(s):  
Education Inequality ◽  
Geodemographic Classification

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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