R as a GIS: Illustrating Scale and Aggregation Problems with Forest Fire Data

Louvet, Romain; Aryal, Jagannath; Josselin, Didier; Genre‐Grandpierre, Cyrille

doi:10.1016/j.proenv.2015.07.118

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…To overcome this challenge we developed an alternative quasi-experimental method of selecting experimental and control areas for the assessment of the effectiveness of CCTV cameras. This issue is currently one of the most important challenges in spatial analysis [37].…”

Section: Methodological Challenges In Evaluating Effectiveness Of Cctmentioning

confidence: 99%

Identification of Experimental and Control Areas for CCTV Effectiveness Assessment—The Issue of Spatially Aggregated Data

Adam

Wójtowicz

Leitner

2018

IJGI

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Progress in surveillance technology has led to the development of Closed-Circuit Television (CCTV) systems in cities around the world. Cameras are considered instrumental in crime reduction, yet existing research does not unambiguously answer the question whether installing them affects the number of crimes committed. The quasi-experimental method usually applied to evaluate CCTV systems’ effectiveness faces difficulties with data quantity and quality. Data quantity has a bearing on the number of crimes that can be conclusively inferred using the experimental procedure. Data quality affects the level of crime data aggregation. The lack of the exact location of a crime incident in the form of a street address or geographic coordinates hinders the selection procedure of experimental and control areas. In this paper we propose an innovative method of dealing with data limitations in a quasi-experimental study on the effectiveness of CCTV systems in Poland. As police data on crime incidents are geocoded onto a neighborhood or a street, we designed a method to overcome this drawback by applying similarity measures to time series and landscape metrics. The method makes it possible to determine experimental (test) and control areas which are necessary to conduct the study.

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Section: Methodological Challenges In Evaluating Effectiveness Of Cctmentioning

confidence: 99%

Identification of Experimental and Control Areas for CCTV Effectiveness Assessment—The Issue of Spatially Aggregated Data

Adam

Wójtowicz

Leitner

2018

IJGI

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“…Particularly, the modifiable areal unit problem (Wong 2004(Wong , 2009 arises due to the data partitioning scheme, which can produce varying results with changes in resolution (scale effect) and the arrangement of the boundaries used in the partitioning scheme (zone effect). Exploring and understanding the consequences of the MAUP within spatial analysis is popular among researchers (Cheong and Park 2015;Louvet et al 2015;Malczewski and Rinner 2015;Swift, Liu, and Uber 2014).…”

Section: Introductionmentioning

confidence: 99%

Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method

Bryant

Delamater

2019

Annals of GIS

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Floating catchment area (FCA) metrics are a family of measures used to quantify spatial accessibility. Spatial accessibility fuses the concepts of accessibility and availability to describe the relationship between the supply and demand of resources. FCA metrics have been applied to measure accessibility of numerous amenities including health services, public transportation, and recreation areas. Macro-level data such as census tracts and census blocks are often used to represent population locations in the calculation of FCA metrics. This approach is susceptible to masking geographic variability that may exist at less aggregated levels, such as at the individual level. This research explores how level of data aggregation can impact the measurement and interpretation of FCA based metrics. Our case study uses the E2SFCA method to measure and compare the spatial accessibility of public parks using micro-and macro-level population representations. Our analysis shows a general agreement in the FCA results among various levels of data aggregation. As expected, error in the FCA measurements generally increased as larger areal units were used; however, our results also show a somewhat nuanced picture, as particularities arising from the Modifiable Areal Unit Problem and the gravity-based calculation of the E2SFCA appear to affect the resulting differences among FCA values. Because obtaining and using individual based data can be challenging for researchers, macro-level data are often the only reliable alternative. Our findings provide insight into the limitations associated with using macro-level data to measure and interpret spatial accessibility.

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Impact des niveaux d’échelle sur l’étude des feux de forêts du sud-est de la France

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R as a GIS: Illustrating Scale and Aggregation Problems with Forest Fire Data

Cited by 3 publications

References 17 publications

Identification of Experimental and Control Areas for CCTV Effectiveness Assessment—The Issue of Spatially Aggregated Data

Identification of Experimental and Control Areas for CCTV Effectiveness Assessment—The Issue of Spatially Aggregated Data

Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method

Impact des niveaux d’échelle sur l’étude des feux de forêts du sud-est de la France

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