scholarly journals Analysis of Temporal Characteristics of Burglary Crime

CONVERTER ◽  
2021 ◽  
pp. 697-707
Author(s):  
Dong Cai, Zimiao Shi
Keyword(s):  
Temporal Analysis ◽  
Police Departments ◽  
Hotspot Analysis ◽  
Surface Interpolation ◽  
Spline Surface ◽  
Time Period ◽  
Daily Scale ◽  
Spatio Temporal ◽  
Different Characteristics ◽  
Temporal Correction

Social security order had generally stabilized, and various major criminal crimes had been effectively controlled, but the problem of burglary crime was very serious. Burglary crime had gradually shown the different characteristics from the past, making it increasingly difficult to control. Data of Burglary crime from 2015 to 2019 in Danyang City, Jiangsu Province, was collected. The main contents of the study included temporal trend analysis based on time series, temporal hotspot analysis based on Biharmonic Spline Surface Interpolation, and temporal correction analysis based on Time Period Probability. Characteristics of burglary cases in yearly scale, monthly scale, and daily scale were extracted in this paper. This study found that the burglary cases in Danyang showed different temporal distributions on different time scales. This study further enriched the spatio-temporal analysis methods of burglary crime, and put forward targeted and reliable suggestions for police departments.

scholarly journals Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales

2008 ◽  
Vol 137 (6) ◽  
pp. 847-857 ◽  
Author(s):  
S. E. FENTON ◽  
H. E. CLOUGH ◽  
P. J. DIGGLE ◽  
S. J. EVANS ◽  
H. C. DAVISON ◽  
...  
Keyword(s):  
Transition Probabilities ◽  
Spatial Clustering ◽  
Markov Chain Model ◽  
Temporal Analysis ◽  
Dairy Herds ◽  
Chain Model ◽  
Time Period ◽  
Spatio Temporal ◽  
Using Data ◽  
Residual Deviance

SUMMARYUsing data from a cohort study conducted by the Veterinary Laboratories Agency (VLA), evidence of spatial clustering at distances up to 30 km was found for S. Agama and S. Dublin (P values of 0·001) and borderline evidence was found for spatial clustering of S. Typhimurium (P=0·077). The evolution of infection status of study farms over time was modelled using a Markov Chain model with transition probabilities describing changes in status at each of four visits, allowing for the effect of sampling visit. The degree of geographical clustering of infection, having allowed for temporal effects, was assessed by comparing the residual deviance from a model including a measure of recent neighbourhood infection levels with one excluding this variable. The number of cases arising within a defined distance and time period of an index case was higher than expected. This provides evidence for spatial and spatio-temporal clustering, which suggests either a contagious process (e.g. through direct or indirect farm-to-farm transmission) or geographically localized environmental and/or farm factors which increase the risk of infection. The results emphasize the different epidemiology of the three Salmonella serovars investigated.

scholarly journals Spatio-temporal clustering of Mountain-type Zoonotic Visceral Leishmaniasis in China between 2015 and 2019

2021 ◽  
Vol 15 (3) ◽  
pp. e0009152
Author(s):  
Yuwan Hao ◽  
Xiaokang Hu ◽  
Yanfeng Gong ◽  
Jingbo Xue ◽  
Zhengbin Zhou ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Spatial Autocorrelation ◽  
Study Time ◽  
Western China ◽  
Shanxi Province ◽  
Hotspot Analysis ◽  
Temporal Clustering ◽  
Time Period ◽  
Spatio Temporal ◽  
Zoonotic Visceral Leishmaniasis

With several decades of concerted control efforts, visceral leishmaniasis(VL) eradication had almost been achieved in China. However, VL cases continue to be detected in parts of western China recent years. Using data of reported cases, this study aimed to investigate the epidemiology and spatio⁃temporal distribution, of mountain-type zoonotic visceral leishmaniasis (MT-ZVL) in China between the years 2015 and 2019. Epidemiological data pertaining to patients with visceral leishmaniasis (VL) were collected in Gansu, Shaanxi, Sichuan, Shanxi, Henan and Hebei provinces between the years 2015 and 2019. Joinpoint regression analysis was performed to determine changes in the epidemic trend of MT-ZVL within the time period during which data was collected. Spatial autocorrelation of infection was examined using the Global Moran’s I statistic wand hotspot analysis was carried out using the Getis-Ord Gi* statistic. Spatio-temporal clustering analysis was conducted using the retrospective space-time permutation flexible spatial scanning statistics. A total of 529 cases of MT-ZVL were detected in the six provinces from which data were collected during the study time period, predominantly in Gansu (55.0%), Shanxi (21.7%), Shaanxi (12.5%) and Sichuan (8.9%) provinces. A decline in VL incidence in China was observed during the study period, whereas an increase in MT-ZVL incidence was observed in the six provinces from which data was obtained (t = 4.87, P < 0.05), with highest incidence in Shanxi province (t = 16.91, P < 0.05). Significant differences in the Moran’s I statistic were observed during study time period (P < 0.05), indicating spatial autocorrelation in the spatial distribution of MT-ZVL. Hotspot and spatial autocorrelation analysis revealed clustering of infection cases in the Shaanxi-Shanxi border areas and in east of Shanxi province, where transmission increased rapidly over the study duration, as well as in well know high transmission areas in the south of Gansu province and the north of the Sichuan province. It indicates resurgence of MT-ZVL transmission over the latter three years of the study. Spatial clustering of infection was observed in localized areas, as well as sporadic outbreaks of infection.

scholarly journals The Spatio-temporal Analysis of b-value in the Banda Arc, Indonesia

2021 ◽  
Vol 873 (1) ◽  
pp. 012010
Author(s):  
Muhammad Bani Al-Rasyid ◽  
Mira Nailufar Rusman ◽  
Daniel Hamonangan ◽  
Pepen Supendi ◽  
Kartika Hajar Kirana
Keyword(s):  
Temporal Variation ◽  
Temporal Analysis ◽  
B Value ◽  
Spatial And Temporal Variation ◽  
Tectonic Structure ◽  
Time Period ◽  
Banda Arc ◽  
Spatio Temporal ◽  
The Impact ◽  
Large Earthquakes

Abstract Banda arc is a complex tectonic structure manifests by high seismicity due to the collision of a continent and an intra-oceanic island arc. Using the relocated earthquakes data from ISC-EHB and BMKG catalogues from the time period of 1960 to 2018, we have conducted a spatial and temporal variation of b-value using the Guttenberg-Richter formula in the area. Our results show that the spatial distribution of low b-values located in the south of Ambon Island and southeast of Buru Island. On the other hand, the temporal variation of b-value shows a decrease in the northern part of the Banda sea probably high potential to produce large earthquakes in the future. Therefore, further mitigation is needed to minimize the impact of earthquakes in the area.

scholarly journals Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

2019 ◽  
Vol 10 (3) ◽  
pp. 85-89
Author(s):  
Sahar Zia ◽  
Safdar Ali Shirazi
Keyword(s):  
Temporal Analysis ◽  
Urban Flooding ◽  
Hotspot Analysis ◽  
Monsoon Period ◽  
Governmental Body ◽  
Temporal Study ◽  
Arc Gis ◽  
Spatio Temporal ◽  
Mega Cities

Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing.

scholarly journals Spatio-temporal analysis identifies hotspots of marine mammal strandings along the Indian coastline: implications for developing a National Marine Mammal Stranding Response and Management policy

2021 ◽  
Author(s):  
Sohini Dudhat ◽  
Anant Pande ◽  
Aditi Nair ◽  
Indranil Mondal ◽  
Kuppusamy Sivakumar
Keyword(s):  
West Coast ◽  
Marine Mammal ◽  
Life Histories ◽  
East Coast ◽  
Temporal Analysis ◽  
Management Policy ◽  
Hotspot Analysis ◽  
North West ◽  
Mobile Species ◽  
Spatio Temporal

AbstractMarine mammal strandings provide vital information on their life histories, population health and status of marine ecosystems. Opportunistic reporting of strandings serve as a potent low-cost tool for conservation monitoring of these highly mobile species. We present the results of spatio-temporal analyses of marine mammal stranding events to identify hotpots along Indian coastline. We collated data over a long-time frame (~270 years) available from various open access databases, reports and publications. Given the inadequacy in data collection over these years, we grouped data into four major groups viz. baleen whales, toothed whales, small cetaceans and dugongs. Further, we described the trends in data for marine mammal sightings, incidental mortalities, induced mortalities and stranding events using the last group for spatio-temporal analysis. Annual strandings along the Indian coast has increased considerably in the recent years (11.25 ± 9.10 strandings/ year), peaking in the last two years (2015-17, mean = 27.66±12.03 strandings /year). We found that number of strandings spiked in June- September along the west coast and December- January along the east coast. We identified several sections of coastline which have consistently received comparatively higher number of stranded animals (0.38 - 1.82 strandings/km) throughout the study period. Use of novel geospatial tool ‘Emerging Hotspot Analysis’ revealed new and consecutive hotspots along the north-west coast, and sporadic hotspots along the south-east coast. Despite the challenges of working with an opportunistic database, this study highlights critical areas to be prioritized for monitoring marine mammal strandings in the country. We recommend establishing regional marine mammal stranding response centres at the identified hotspots coordinated by a National Stranding Monitoring Centre with adequate funding support. Regular conduct of stranding response programs for field veterinarians, frontline personnel focused around identified stranding hotspots would help develop a comprehensive picture of marine mammal populations in Indian waters.

scholarly journals Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

2019 ◽  
Vol 10 (3) ◽  
pp. 85-89
Author(s):  
Sahar Zia ◽  
Safdar Ali Shirazi
Keyword(s):  
Temporal Analysis ◽  
Urban Flooding ◽  
Hotspot Analysis ◽  
Monsoon Period ◽  
Governmental Body ◽  
Temporal Study ◽  
Arc Gis ◽  
Spatio Temporal ◽  
Mega Cities

Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing.

Spatio-Temporal Analysis of Frontal Midline Theta Rhythm in EEG during 3-D Maze Task

2009 ◽  
Vol 129 (10) ◽  
pp. 1778-1784
Author(s):  
Yasuaki Uehara ◽  
Keita Tanaka ◽  
Yoshinori Uchikawa ◽  
Bong-Soo Kim
Keyword(s):  
Theta Rhythm ◽  
Temporal Analysis ◽  
Maze Task ◽  
Frontal Midline Theta ◽  
Spatio Temporal

Spatio-temporal analysis and prediction of grain security in Shaanxi Province

2010 ◽  
Vol 17 (4) ◽  
pp. 770-775
Author(s):  
Ren YANG ◽  
Zhi-Yuan REN ◽  
Qian XU ◽  
Mei-Xia WANG
Keyword(s):  
Temporal Analysis ◽  
Shaanxi Province ◽  
Spatio Temporal ◽  
Grain Security
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