Emerging Retail Strategies in Urban Canada

In this article, the authors examine the spatial distribution of major retail chains across Canada. Using store location data for 2001 and 2006, the geospatial approach adopted in this study allows for the analysis of retail chains’ store portfolios by the size of the resident population of the ‘markets’ within which they operate. The analysis presented highlights the dominance of chain locations within and proximal to Canada’s major urban markets and provides further evidence of increasing interest amongst a number of major chains in ‘small town’ (or ‘C’) markets. It points to a future in which these smaller markets will become more competitive with an increased presence of major retail chains. The findings reported can be seen as the locational imprint of the processes of corporate concentration taking place across Canada, fuelled by the interplay of increased competition, concerns over market saturation and the need to sustain growth.

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EVALUATING THE ACCURACY OF POST-PROCESSED KINEMATIC (PPK) POSITIONING TECHNIQUE

Geodesy and Cartography ◽

10.3846/gac.2021.12269 ◽

2021 ◽

Vol 47 (2) ◽

pp. 66-70

Author(s):

Atınç Pırtı

Keyword(s):

Screening Method ◽

Weighted Average ◽

Reference Station ◽

Location Data ◽

Least Squares Adjustment ◽

Store Location ◽

High Production ◽

Positioning Technique ◽

Observation Times ◽

Basic Statistical Analysis

Post-processing kinematics (PPK) is positioning process in which signals received from a mobile receiving device store location data can be adjusted using corrections from a reference station after data has been collected. The processed kinematic screening method provides the surveyor with a technique for high production survey measurements and can be used in areas with minimal satellite barriers. PPK uses significantly reduced observation times compared to static or fast static observations. This method requires least squares adjustment or another multiple basic statistical analysis that can produce a weighted average of observations. The results obtained using PPK are between 1 cm and 3 cm for horizontal coordinates and from 1 cm to 10 cm for vertical coordinates.

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Using GIS to Explore the Retail Structure of Market Towns in Ireland

International Journal of Applied Geospatial Research ◽

10.4018/jagr.2013010102 ◽

2013 ◽

Vol 4 (1) ◽

pp. 17-31 ◽

Cited By ~ 2

Author(s):

Bill Dwan

Keyword(s):

Retail Sector ◽

Threshold Analysis ◽

Demand And Supply ◽

Location Data ◽

Market Town ◽

Store Location ◽

Retail Demand ◽

Retail Structure ◽

Retail Activity ◽

Market Towns

The paper presents a Geographic Information System (GIS)-based approach to quantifying and comparing retail structures. It explores the retail landscape of the three largest market towns in County Tipperary, Republic of Ireland, namely: Clonmel, Thurles and Nenagh. The context for the study is provided through an overview of recent changes in the Irish retail sector, the dynamic of market towns and the associated challenges inherent in defining retail structure. Using demographic and retail store location data a demand threshold analysis is undertaken on custom-defined catchments for each market town (derived using a Huff Model). The paper highlights that applied GIS approaches can effectively be used to examine retail structure and to benchmark the relative under- or over-penetration of retail activity within a given set of markets. The paper also underlines the limitations inherent in such analysis and the need for high quality longitudinal data on retail demand and supply.

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Introducing Seaside Town Muslims

Journal of Muslims in Europe ◽

10.1163/22117954-12341305 ◽

2015 ◽

Vol 4 (2) ◽

pp. 197-222

Author(s):

Sevket Hylton Akyildiz

Keyword(s):

Spatial Distribution ◽

Small Town ◽

Participant Observation ◽

Academic Research ◽

Study Group ◽

Ethnic Heterogeneity ◽

Structured Interviews ◽

British Muslims ◽

Management Issues

The majority of British Muslims live in cities such as London, Leicester, Birmingham and Bradford—and academic research thus far has reflected a city and post-manufacturing town emphasis. This paper investigates the as yet undocumented history and mosque politics of Muslims living in the small town of Eastbourne, East Sussex, using participant observation and unstructured and semi-structured interviews. Firstly, I conceptualise my case study group by highlighting some differences found in a small town in terms of the origins of its Muslims, their ethnic heterogeneity, and residential spatial distribution. Secondly, I explore mosque politics in terms of mosque planning, public reactions to mosque rebuilding, and mosque management issues.

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The Market Inscribed Landscape: An Institutional Logic of Food Deserts

City and Community ◽

10.1111/cico.12365 ◽

2019 ◽

Vol 18 (1) ◽

pp. 344-368

Author(s):

Jarrett Thibodeaux

Keyword(s):

Neighborhood Effects ◽

Economically Disadvantaged ◽

Economies Of Scale ◽

Food Deserts ◽

Institutional Logics ◽

Institutional Logic ◽

High Demand ◽

Grocery Industry ◽

Location Data ◽

Store Location

Focusing on the institutional logics of the grocery industry, this paper argues that the “neighborhood effects” of a lack of resources provided by organizations to economically disadvantaged areas are moderated by institutional logics. From the 1930s to early 1970s, the grocery industry had a logic of “economies of scale.” A new “mix–margin” logic developed after the mid–1970s: using low margins on high–demand items to gain foot traffic needed to sell high–margin items. Using company–specific store location data (from 1970 to 1983), this paper analyzes whether differences in company philosophy affect their presence in economically disadvantaged zip codes. Results show that supermarkets were less likely to locate in economically disadvantaged zip codes when operating under a mix–margin philosophy. These results indicate a shift to a “mix–margin” institutional logic corresponded with an exodus from economically disadvantaged areas by the grocery industry after the mid–1970s.

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Examination of Location Based Services and User Preferences

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1082.1292s319 ◽

2019 ◽

Vol 9 (2S3) ◽

pp. 342-346

Keyword(s):

Optimal Solution ◽

User Preferences ◽

Location Based Services ◽

Mobile Location ◽

User Interests ◽

Location Data ◽

Start Up ◽

Recent Developments ◽

Store Location ◽

Year 2000

Recent developments on mobile location information have driven efforts to mine user patterns of interest. Even start-up companies survey user interests to enrich their business. All medium and large organizations are paying attention to collect and store location data. With the support of unlimited computing power and memory of mobile phones we can apply proficient Deep Learning algorithms to determine an optimal solution for user interests. In this article, we aim to complete an overall survey on evolution of Location Based Services and the improvements in recent trends. We have categorized the evolution period in to three divisions covering from the year 2000 to till date.

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Modern Problems Of Hr-Management In Fmcg Retail Chains

Management of the personnel and intellectual resources in Russia ◽

10.12737/2305-7807-2020-71-76 ◽

2020 ◽

Vol 8 (6) ◽

pp. 71-76

Author(s):

T. Hrisanova ◽

R. Ashurbekov

Keyword(s):

Sustainable Development ◽

Development Economics ◽

Proactive Approach ◽

Hr Management ◽

Wide Range ◽

Retail Chains ◽

Market Saturation

The article discusses the most relevant problems in HR-management of modern retail chains in Russia. Efficient HR-management and coordinated work in all HRM subsystems are the keys to a long-lasting competitiveness in context of the proceeding transfer to a new sustainable development economics. The FMCG-segment is distinguished from many other economical segments in Russia by its high competitiveness and market saturation. Under such circumstances it’s highly important not only to manage the staff , but also to take a proactive approach, which means to diagnose the HRM-system, to identify all the possible problems and to implement the most effi cient HR-technologies. This article shows a wide range of relevant HR-problems in all HRM-subsystems, which may threaten Russian FMCG-retail chains.

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PENERAPAN MIXTURE MODEL KEPADA APLIKASI HELPDESK BERBASIS WEB

NJCA (Nusantara Journal of Computers and Its Applications) ◽

10.36564/njca.v2i1.26 ◽

2017 ◽

Vol 2 (1) ◽

Author(s):

Mira Chandra Kirana ◽

Landong Moral Etisa

Keyword(s):

Data Management ◽

Mixture Models ◽

Mixture Model ◽

Service Providers ◽

Customer Data ◽

Location Data ◽

Address Data ◽

Store Location ◽

Search For Information ◽

Number Of Customers

The use of mixture models in the application implementation helpdesk aims to find the spread of data from various data hordes in order to find data near the desired results. It aims to facilitate the search for information derived from the company's technical documents. The use of helpdesk applications is to manage complaint data or any problems that are owned by customers, thus requiring service providers. Because companies engaged in services have a number of customers who are not small and have different problems. As well as having customers in different locations - requiring customer data management that can store location data with ease to use, it is preferred to store customer's address data. For that helpdesk application also uses map mapping online by using google map.Purpose in order to present the data online and can be accessed wherever located.

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Identification of Elk-vehicle incident hotspots on state route 20 in Washington State

Landscape Ecology ◽

10.1007/s10980-021-01238-2 ◽

2021 ◽

Author(s):

Jennifer Sevigny ◽

Amanda Summers ◽

Glen Kalisz ◽

Kelly McAllister

Keyword(s):

Spatial Distribution ◽

Strong Association ◽

Washington State ◽

Home Ranges ◽

Protection Measures ◽

Location Data ◽

Vehicle Collision ◽

Crossing Structures ◽

Risk Zones ◽

Road Crossing

Abstract Context Identifying risk zones for wildlife-vehicle incidents is essential for creating effective mitigation efforts on major road networks. Wildlife-vehicle collision data are often used to identify hotspot areas without consideration of species spatial distributions. Objectives Evaluating both can reveal spatiotemporal patterns that can improve mitigation success. Methods We summarized elk-vehicle incident (EVI) data on State Route 20 (SR 20) in Washington State between 2012 and 2019. We also collared 23 elk residing in the vicinity of SR 20 and used GPS location data to identify home ranges and road crossings. We compared EVI and elk road crossing data to identify hotspot locations on SR 20 to help inform mitigation. Results Our EVI and elk crossing data had a non-random distribution along a 38 km section of SR 20 associated with the 95% home ranges of 8 female elk sub-herds. We found EVI data alone were an effective indicator of elk spatial distribution and movement in relation to collision hotspots along SR 20. Our results also indicated a strong association between elk crossings and EVIs by milepost. While the spatial distribution of elk sub-herds was a good predictor of EVI risk zones, EVI frequency was not associated with an increase in elk population. Conclusions Classifying EVI and road crossing distributions as high risk zones is the first step preceding mitigation and protection measures to prevent elk-vehicle collisions. Specific identification of hotspots will result in more effective and successful installations of high cost mitigation efforts such as wildlife crossing structures.

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Sistema de informação geográfica para o agronegócio do babaçu no estado do Piauí - SIG GeoBabaçu / Geographic Information System to the agribusiness of the babaçu in the state of Piauí – SIG GeoBabaçu

Caderno de Geografia ◽

10.5752/p.2318-2962.2017v27nesp1p54 ◽

2017 ◽

Vol 27 (1) ◽

pp. 54

Author(s):

Valdira De Caldas Brito Vieira ◽

Maurício Alves Moreira ◽

Deyvid Yuri Da Silva Lopes ◽

Felipe Ramos Dantas

Keyword(s):

Information System ◽

Spatial Distribution ◽

Geographic Information System ◽

Geographic Information ◽

General Information ◽

Google Earth ◽

The State ◽

Location Data ◽

Gps Navigation ◽

Average Production

Este artigo apresenta a construção de um Sistema de Informação Geográfica (SIG), disponível na web, como ferramenta para divulgar informações atualizadas sobre o agronegócio do babaçu no estado do Piauí, Brasil. O SIG GeoBabaçu foi desenvolvido utilizando a plataforma GeoServer e foi composto de duas partes:1) site web que mostra informações gerais sobre o babaçu e sobre os municípios produtores; 2) banco de dados geográficos com a disponibilização dos mapas da distribuição espacial do babaçu nos municípios pesquisados. Na construção do Banco de Dados Geográficos foram utilizados o sistema gerenciador de banco de dados PostgreSQL 9.3 + PostGIS 2.1., em conjunto com o Sistema de informação Geográfica QGIS. Para o mapeamento da distribuição espacial do babaçu foram selecionados os 25 municípios que apresentaram produção média mínima de cinco toneladas de amêndoas entre os anos de 2006 e 2013. Foram utilizadas imagens RapidEye, ortorretificadas com resolução espacial de 5 metros, composição R5G4B3 para a geração dos mapas. As imagens foram segmentadas e classificadas no software eCognition 8.7 e reclassificadas manualmente no módulo ArcMap do ArcGis 10.2.2, com o apoio de imagens do Google Earth Pro 7.1.5.1557. O levantamento dos dados de localização dos babaçuais foi realizado utilizando equipamentos GPS de navegação com precisão de 10 metros. O SIG GeoBabaçu está disponível no endereço siggeobabacu.ifpi.edu.br.Palavras-chave: mapeamento web, geoprocessamento, banco de dados geográficos, sensoriamento remoto.AbstractThis article presents the construction of a Geographic Information System (GIS), available on the web, as a tool to disseminate up - to - date information on babaçu agribusiness in the state of Piauí, Brazil. The GeoBabaçu SIG was developed using the GeoServer platform and was composed of two parts: 1) web site that shows general information about the babassu and about the producing municipalities; 2) geographics database with the map of spatial distribution of babassu in the cities surveyed. In the construction of the databases geographic was used the system database manager PostgreSQL 9.3 + PostGIS 2.1, in conjunction with the QGIS Geographic Information System. For the mapping of the spatial distribution of babassu, the 25 municipalities that had a minimum average production of five tons of almonds between 2006 and 2013 were selected. To the mapping were used RapidEye images, orthorectified, with spatial resolution of 5 meters and composition R5G4B3. The image segmentation and classification processes were performed with eCognition software 8.7 and after were reclassified manually in ArcGis module 10.2.2, supported by images from Google Earth Pro 7.1.5.1557. The survey of the location data of the babassu area was performed with equipment GPS navigation with accuracy of 10 meters. The GeoBabaçu SIG is available in the address siggeobabacu.ifpi.edu.br.Keywords: webmapping, geoprocessing, geographic database, remote sensing.

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