Inverse Distance Variations for the Flow of Crime in Urban Areas

Social Forces ◽  
1976 ◽  
Vol 54 (4) ◽  
pp. 802-815 ◽  
Author(s):  
T. S. Smith
Keyword(s):  
Urban Areas ◽  
Inverse Distance

scholarly journals Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon

2020 ◽  
Vol 10 (26) ◽  
pp. 200605
Author(s):  
Romaric Emmanuel Ouabo ◽  
Abimbola Y. Sangodoyin ◽  
Mary B. Ogundiran
Keyword(s):  
Urban Areas ◽  
Ordinary Kriging ◽  
Cross Validation ◽  
Interpolation Method ◽  
Waste Recycling ◽  
Inverse Distance Weighting ◽  
P Value ◽  
Interpolation Methods ◽  
Distance Weighting ◽  
Inverse Distance

Background. Several studies have demonstrated that chromium (Cr) and cadmium (Cd) have adverse impacts on the environment and human health. These elements are present in electronic waste (e-waste) recycling sites. Several interpolation methods have been used to evaluate geographical impacts on humans and the environment. Objectives. The aim of the present paper is to compare the accuracy of inverse distance weighting (IDW) and ordinary kriging (OK) in topsoil analysis of e-waste recycling sites in Douala, Cameroon. Methods. Selecting the proper spatial interpolation method is crucial for carrying out surface analysis. Ordinary kriging and IDW are interpolation methods used for spatial analysis and surface mapping. Two sets of samples were used and compared. The performances of interpolation methods were evaluated and compared using cross-validation. Results. The results showed that the OK method performed better than IDW prediction for the spatial distribution of Cr, but the two interpolation methods had the same result for Cd (in the first set of samples). Results from Kolmogorov-Smirnov and Shapiro-Wilk tests showed that the data were normally distributed in the study area. The p value (0.302 and 0.773) was greater than 0.05 for Cr and for Cd (0.267 and 0.712). In the second set of samples, the OK method results (for Cd and Cr) were greatly diminished and the concentrations dropped, looking more like an average on the maps. However, the IDW interpolation gave a better representation of the concentration of Cd and Cr on the maps of the study area. For the second set of samples, OK and IDW for Cd and Cr had more similar results, especially in terms of root mean square error (RMSE). Conclusions. Many parameters were better identified from the RMSE statistic obtained from cross-validation after exhaustive testing. Inverse distance weighting appeared more adequate in limited urban areas. Competing Interests. The authors declare no competing financial interests

Mapping and distribution of noise using IDW interpolation algorithm in Thuan An city, Binh Duong province

2021 ◽  
pp. 64-76
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
Measurement Data ◽  
Noise Pollution ◽  
Weighting Method ◽  
Distribution Maps ◽  
Distance Weighting ◽  
Noise Data ◽  
The Difference ◽  
Inverse Distance

The study is conducted to assess the level of noise pollution from traffic activities in urban areas (in the case of Thuan An city, Binh Duong province) with the specific goal of applying geographic information systems. (GIS) in building noise pollution distribution maps in the study area. The research team collected noise data at peak hours and normal hours on weekdays and weekends using noise meters at 61 survey points. Noise measurement data was then interpolated using IDW (Inverse Distance Weighting) method to assess the spatial distribution of noise in Thuan An city. In addition, the study digitizes traffic routes and special areas (hospitals, schools, churches - pagodas) in the study area to identify areas affected by sound noisy. The results show that the areas near the main road are most affected by noise during rush hour, while areas in the small lane are noise level within the permitted range. In addition, the results also show the difference in noise level and noise time between weekdays and weekends.

scholarly journals The Effect of the COVID-19 Pandemic on Ambient Air Quality in Yogyakarta Urban Area Parameters SO2, CO and, NO2 with Inverse Distance Weighting (IDW)

2021 ◽  
Vol 933 (1) ◽  
pp. 012013
Author(s):  
E R Sihayuardhi ◽  
W Brontowiyono ◽  
F B Maziya ◽  
L Hakim
Keyword(s):  
Air Quality ◽  
Urban Area ◽  
Urban Areas ◽  
Ambient Air ◽  
Major Road ◽  
Ambient Air Quality ◽  
Distance Weighting ◽  
Tourist Center ◽  
Inverse Distance ◽  
Special Region

Abstract In early March 2020, a pandemic disrupted human activities, especially in the Yogyakarta Urban Area. The area is experiencing development or becoming a tourist center in the Province of the Special Region of Yogyakarta. With these developments, this study would carry out data processing related to air quality, remove it comparing the concentration of SO2, CO, and NO2 parameters before the pandemic in 2019 and after the pandemic in 2020. The results of this study are that the ambient air quality in urban areas Yogyakarta tends to experience a decline and the monitoring locations are located around industries and major road junctions. So, the mapping of ambient air quality itself can facilitate visualization research.

Inverse Distance Variations for the Flow of Crime in Urban Areas

Social Forces ◽  
1976 ◽  
Vol 54 (4) ◽  
pp. 802 ◽  
Author(s):  
Thomas Spence Smith
Keyword(s):  
Urban Areas ◽  
Inverse Distance

Management of minor ailments in primary schoolchildren in rural and urban areas

1996 ◽  
Vol 22 (3) ◽  
pp. 167-174
Author(s):  
J A Cantrill ◽  
B Johannesson ◽  
M Nicholson ◽  
P R Noyce
Keyword(s):  
Urban Areas ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Primary Schoolchildren ◽  
Minor Ailments

Cannabis use in Switzerland: The role of attribution of drug use to friends, urbanization and repression 1The study was supported by the Swiss Federal Office of Public Health (Bundesamt für Gesundheit BAG) Grant 316.96.5980.

2001 ◽  
Vol 60 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Holger Schmid
Keyword(s):  
Drug Use ◽  
Urban Areas ◽  
Hierarchical Linear Model ◽  
Cannabis Use ◽  
School Aged Children ◽  
Structural Variables ◽  
Hbsc Study ◽  
Nationally Representative ◽  
Highly Correlated ◽  
Individual Use

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.

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