scholarly journals A Spatial Analysis of Serotine Bat (Eptesicus serotinus) Roost Location and Landscape Structure: A Case Study in Sussex, UK

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Michael Tink ◽  
Niall G. Burnside ◽  
Stephen Waite
Keyword(s):  
Landscape Structure ◽  
Arable Land ◽  
Landscape Composition ◽  
Landscape Conservation ◽  
Landscape Characteristics ◽  
Key Factor ◽  
Density Analysis ◽  
South East England ◽  
Kernel Density Analysis ◽  
Eptesicus Serotinus

Roost location is a key factor affecting the survival and fitness of British bats. It has been suggested that a knowledge and understanding of the factors which may influence the selection of roost location are fundamental to conservation efforts. Our study aims to investigate the relationship between Eptesicus serotinus roost location and landscape structure. The study is based in the Sussex region of South East England. The landscape characteristics of 97 roosts locations were compared against 100 random control locations. Habitat analysis was carried out at three distance bands and included an analysis of roost density. The results indicate that E. serotinus is selective in locating roosts. The study demonstrates that there are significant differences between the landscape composition surrounding roost sites and the wider landscape. In particular, E. serotinus roost sites are found to be located in areas with a significantly higher cover of arable land and improved grassland. Kernel density analysis was successfully used as an additional method to the direct comparison of roost neighbourhood composition. Density analysis identified the location and characteristics of possible centres of E. serotinus activity. It is anticipated that the findings will enable the needs of bats to be considered in future landscape conservation initiatives and development policies.

Exploring the Effects of Landscape Structure at Multiple Scales on River Water Characteristics in the Khorramabad and Chalus River basins

2021 ◽  
Author(s):  
Fatemeh Sadeghi Gorbandi ◽  
Hamid Torangzar ◽  
Ramin Zare ◽  
Javad Varvani ◽  
Abbas Ahmadi
Keyword(s):  
Water Quality ◽  
Landscape Structure ◽  
Human Activities ◽  
Urban Areas ◽  
Forest Cover ◽  
Multiple Scales ◽  
Landscape Composition ◽  
Riparian Buffer ◽  
Landscape Characteristics ◽  
Landscape Composition And Configuration

Abstract Background It is acknowledged that the landscape composition and configuration of land cover within a watershed could influence a watershed environmental and ecological quality. Therefore, rivers receive pollution from their surrounding landscape and the amount and intensity of this pollution are affected by the landscape structure around the river or within a watershed. Methods In this research, we estimated the relationship between landscape characteristics and water quality in two different basins. We used multiple stepwise regression analysis and redundancy analysis to explore the quantitative association between landscape metrics, at both the watershed and riparian buffer scales. Results The riparian buffer scales metrics were more effective in predicting water quality in comparison with the indices at the watershed scale. The landscape composition and configuration explained 80% of the variation in water quality at 100 m buffer, and the value decreased to 79% at 1000 m. At the 100 m buffer scale, ED of the forest, PLADJ, and MESH of urban areas in Khorramabad basin and AI of the forest, ED of urban, and SPLIT of agricultural lands were recognized as significant variables affecting the water quality in the Chalus basin. In other scales only metrics related to agriculture and urban were seen as dominant variables, indicating that these land-use classes are final determinatives in water quality changes in our study areas. Conclusion All dominant variables at each scale indicated a decreasing trend of the landscape impact on the water quality. Although in the Chalus basin human activities were insignificant, they had considerable effects on Chalus river quality, and urban and agriculture were recognized as dominant usages at all scales, implying that a large amount of forest cover cannot impede the effects of human activities in a basin.

scholarly journals Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kang-wen Zhu ◽  
Zhi-min Yang ◽  
Lei Huang ◽  
Yu-cheng Chen ◽  
Sheng Zhang ◽  
...  
Keyword(s):  
High Risk ◽  
Point Source ◽  
Kernel Density ◽  
Point Source Pollution ◽  
Spatiotemporal Evolution ◽  
Matrix Kernel ◽  
Medium Risk ◽  
Density Analysis ◽  
Kernel Density Analysis ◽  
Non Point Source Pollution

AbstractTo determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis. Land use changes during the 10 years had a certain influence on the AGNPS risk. The risk values in 2005, 2010, and 2015 were in the ranges of 0.40–2.28, 0.41–2.57, and 0.41–2.28, respectively, with the main distribution regions being the western regions of Chongqing (Dazu, Jiangjin, etc.) and other counties such as Dianjiang, Liangping, Kaizhou, Wanzhou, and Zhongxian. The spatiotemporal transition matrix could well exhibit the risk transition situation, and the risks generally showed no changes over time. The proportions of ‘no-risk no-change’, ‘low-risk no-change’, and ‘medium-risk no-change’ were 10.86%, 33.42%, and 17.25%, respectively, accounting for 61.53% of the coverage area of Chongqing. The proportions of risk increase, risk decline, and risk fluctuation were 13.45%, 17.66%, and 7.36%, respectively. Kernel density analysis was suitable to explore high-risk gathering areas. The peak values of kernel density in the three periods were around 1110, suggesting that the maximum gathering degree of medium-risk pattern spots basically showed no changes, but the spatial positions of high-risk gathering areas somehow changed. Getis-Ord Gi* analysis was suitable to explore the relationships between hot and cold spots. Counties with high pollution risks were Yongchuan, Shapingba, Dianjiang, Liangping, northwestern Fengdu, and Zhongxian, while counties with low risks were Chengkou, Wuxi, Wushan, Pengshui, and Rongchang. High-value hot spot zones gradually dominated in the northeast of Chongqing, while low-value cold spot zones gradually dominated in the Midwest. Our results provide a scientific base for the development of strategies to prevent and control AGNPS in Chongqing.

scholarly journals Oliver Tambo International Airport, South Africa: Land-Use Conflicts Between Airports and Wildlife Habitats

2021 ◽  
Vol 9 ◽  
Author(s):  
Lance Robinson ◽  
Kevin Mearns ◽  
Tracey McKay
Keyword(s):  
South Africa ◽  
Land Use ◽  
Land Use Planning ◽  
Buffer Zone ◽  
Civil Aviation ◽  
Aviation Industry ◽  
International Airport ◽  
Passenger Safety ◽  
Density Analysis ◽  
Kernel Density Analysis

Airports stimulate tourism and trade and are a vital link in any country’s tourism infrastructure and economy. Large airports such as South Africa’s busiest airport, the OR Tambo International Airport, in Ekurhuleni, Gauteng, are usually located on the periphery of cities, usually on land that forms part of the peri-urban economy, reserved perhaps for farming or left undeveloped. As a result, such land often becomes a wildlife haven within the more “urbanized” or developed areas. Unfortunately, this places wildlife, especially birds on a collision course with aircraft. So much so that bird and other animal strikes cost the aviation industry millions of US dollars annually. Therefore, it is essential to reduce the number of wildlife strikes, not only lower the risk of damage to aircraft, increase passenger safety and reduce operational delays, but also prevent a decline in local wildlife populations. Thus, this paper argues that South Africa must improve its management of land-use close to airports to minimize the potential for wildlife strikes. In that regard, this study catalogs the different habitats and land-use types surrounding OR Tambo International Airport, identifying potential bird hazard zones using kernel density analysis. This identifies which areas pose the highest risk of bird strikes. Although land-use and land zoning by the International Civil Aviation Organization (ICAO) recommends a 13 km buffer zone around airports, this study shows that land-use in the buffer zone must also take potential bird strikes into account. Thus, airport operators need to work with land-use planning authorities and neighboring stakeholders to do so.

Regional Spatial-Temporal Spread of Citrus Huanglongbing Is Affected by Rain in Florida

2018 ◽  
Vol 108 (12) ◽  
pp. 1420-1428 ◽  
Author(s):  
M. M. Shimwela ◽  
T. S. Schubert ◽  
M. Albritton ◽  
S. E. Halbert ◽  
D. J. Jones ◽  
...  
Keyword(s):  
Large Scale ◽  
Disease Incidence ◽  
Kernel Density ◽  
Candidatus Liberibacter Asiaticus ◽  
Candidatus Liberibacter ◽  
Citrus Huanglongbing ◽  
Density Analysis ◽  
Liberibacter Asiaticus ◽  
Kernel Density Analysis ◽  
Temporal Spread

Citrus huanglongbing (HLB), associated with ‘Candidatus Liberibacter asiaticus’ (Las), disseminated by Asian citrus psyllid (ACP), has devastated citrus in Florida since 2005. Data on HLB occurrence were stored in databases (2005 to 2012). Cumulative HLB-positive citrus blocks were subjected to kernel density analysis and kriging. Relative disease incidence per county was calculated by dividing HLB numbers by relative tree numbers and maximum incidence. Spatiotemporal HLB distributions were correlated with weather. Relative HLB incidence correlated positively with rainfall. The focus expansion rate was 1626 m month−1, similar to that in Brazil. Relative HLB incidence in counties with primarily large groves increased at a lower rate (0.24 year−1) than in counties with smaller groves in hotspot areas (0.67 year−1), confirming reports that large-scale HLB management may slow epidemic progress.

scholarly journals Human Settlement Assessment in Jinan From a Facility Resource Perspective

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092405
Author(s):  
Xue-ming Li ◽  
Zhi-zhen Bai ◽  
Shen-zhen Tian ◽  
Jun Yang ◽  
Yu-jie Guo
Keyword(s):  
Public Space ◽  
Spatial Density ◽  
Human Settlement ◽  
Human Settlements ◽  
Circular Structure ◽  
Key Factor ◽  
Total Settlement ◽  
Density Analysis ◽  
Residential Space ◽  
Settlement Distribution

Multisource data, spatial density analysis, and a gravity model were used to evaluate and analyze differentiation and controls of human settlement locations in Jinan, China. The results indicate the following. (a) The spatial distribution of human settlements follows a block-style, is axially extended, and has a multicenter development pattern with a significant circular structure. (b) The distributions of many settlement types are similar to the total settlement distribution. Residential space exhibits the highest correlation with public space, whereas financial space has the smallest correlation with business space. A high matching value for human settlement is found at the junction of the five districts in Jinan, whereas the Pingyin and Shanghe counties exhibit the lowest value. (c) Areas with human settlement exhibit typical hierarchies. Performance is dominated by the five districts, Zhangqiu is subdominant, and other districts represent an edge-dependent hierarchical system. Radial spatial settlement structures are centered on the five districts, with a centripetal and multicentric “western dense, eastern sparse” regional pattern. (d) Topography is the main factor that generates differentiation. Road network density affects the distribution and grade of human settlement areas, gross domestic factor is a key factor that affects the formation of human settlement structures, and population aggregation is a prerequisite for human settlement distribution, as well as a catalytic factor for differentiation of human settlements.

scholarly journals An Objective Analysis of Tornado Risk in the United States

2014 ◽  
Vol 29 (2) ◽  
pp. 366-376 ◽  
Author(s):  
Timothy A. Coleman ◽  
P. Grady Dixon
Keyword(s):  
United States ◽  
Great Plains ◽  
Grid Point ◽  
Southeastern United States ◽  
The United States ◽  
Objective Analysis ◽  
Damage Indicators ◽  
Density Analysis ◽  
Kernel Density Analysis ◽  
Reporting Frequency

Abstract In this paper, an objective analysis of spatial tornado risk in the United States is performed, using a somewhat different dataset than in some previous tornado climatologies. The focus is on significant tornadoes because their reporting frequency has remained fairly stable for several decades. Also, data before 1973 are excluded, since those tornadoes were rated after the fact and were often overrated. Tornado pathlength within the vicinity of a grid point is used to show tornado risk, as opposed to tornado days or the total number of reported tornadoes. The possibility that many tornadoes in the Great Plains were underrated due to the lack of damage indicators, causing a low bias in the number of significant tornadoes there, is mostly discounted through several analyses. The kernel density analysis of 1973–2011 significant tornadoes performed herein shows that the area of highest risk for tornadoes in the United States extends roughly from Oklahoma to Tennessee and northwestern Georgia, with the highest risk in the southeastern United States, from central Arkansas across most of Mississippi and northern Alabama.

Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut

2018 ◽  
Vol 26 ◽  
pp. 143-151 ◽  
Author(s):  
Natalya Rybnikova ◽  
Richard G. Stevens ◽  
David I. Gregorio ◽  
Holly Samociuk ◽  
Boris A. Portnov
Keyword(s):  
Breast Cancer ◽  
Cancer Incidence ◽  
Breast Cancer Incidence ◽  
Kernel Density ◽  
Density Analysis ◽  
Kernel Density Analysis

scholarly journals GIS-based NNA and Kernel Density Analysis for Identifying Distribution of Restaurant’s Popularity Index in Bandung

2021 ◽  
Vol 940 (1) ◽  
pp. 012012
Author(s):  
S S A’idah ◽  
D Susiloningtyas ◽  
I P A Shidiq
Keyword(s):  
Application Programming Interface ◽  
Distribution Patterns ◽  
Gis Applications ◽  
Information And Communication ◽  
Density Analysis ◽  
Application Programming ◽  
Surrounding Space ◽  
Kernel Density Analysis ◽  
Programming Interface

Abstract With the advancement of information and communication technology, geographic information systems (GIS) also grow. The existence of GIS allows problems to be solved as much as possible by paying attention to the surrounding space. GIS applications have been widely applied in everyday life including in the culinary field. The existence of GIS in the culinary field can make it easier to find location information where a restaurant is located and find out how the restaurant’s popularity index is. This research focuses on using NNA and KDA to analyze distribution patterns formed from each classification of restaurant popularity index in Bandung and the density of the restaurant point. Restaurant data containing restaurant names, restaurant addresses, restaurant types, food types, and restaurant popularity indexes were obtained from Zomato using Zomato’s Application Programming Interface (API). The result of this research are spatial distribution pattern of the high, medium, and low popularity restaurants in Bandung City showing the same characteristics, clustering and has a large density in several sub-districts.

scholarly journals Geographical modelling based on spatial differentiation of fire brigade actions: A case study of Brno, Czech Republic

2017 ◽  
Vol 35 (35) ◽  
pp. 81-92 ◽  
Author(s):  
Jan Popelínský ◽  
Jan Vachuda ◽  
Ondřej Veselý
Keyword(s):  
Urban Space ◽  
Forest Fires ◽  
Web Application ◽  
Spatial Differentiation ◽  
Rescue Service ◽  
Fire Brigade ◽  
Open Access Database ◽  
Density Analysis ◽  
Kernel Density Analysis ◽  
The City

Abstract The paper analyzes crisis situations solved by The Fire Rescue Service of the South Moravian Region (FRS) in the city of Brno during 24 weeks between 7th April 2013 and 20th September 2013. The article deals briefly with all FRS actions and then focuses on fires. The open-access database of FRS is used for analysis. It is accessed from a database of the innovative web application StreetAlert, which allows users to learn about current fire brigade actions in the specified distance from the mobile phone. The data are processed in PostgreSQL and then spatial analysis is performed using the most detailed administrative division of the city – basic settlement units. As this division of urban space is used also in the most recent Czech census (2011), it is possible to use sociodemographic statistical data for comparison. The article identifies spatial regularities in the distribution of fires, describes the structure of the fires in terms of the type of event (fires of waste, fires of grass and forest, fires of buildings), discovers their possible dependence on the specific characteristics of urban space, finds potentially dangerous places (kernel density analysis), draws valid conclusions applicable to similar settlements, and shows the possible use of the data for local government. The main benefit of the research lies in revealing the spatial distribution of the examined phenomena.

scholarly journals Spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing, China, based on the ITO3dE model and GIS

2020 ◽  
Author(s):  
Kang-wen ZHU ◽  
Zhi-min YANG ◽  
Lei HUANG ◽  
Yu-cheng CHEN ◽  
Sheng ZHANG ◽  
...  
Keyword(s):  
High Risk ◽  
Point Source ◽  
Kernel Density ◽  
Point Source Pollution ◽  
Spatiotemporal Evolution ◽  
Matrix Kernel ◽  
Medium Risk ◽  
Density Analysis ◽  
Kernel Density Analysis ◽  
Non Point Source Pollution

Abstract To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis. Land use changes during the 10 years had a certain influence on the AGNPS risk. The risk values in 2005, 2010, and 2015 were in the ranges of 0.40–2.28, 0.41–2.57, and 0.41–2.28, respectively, with the main distribution regions being the western regions of Chongqing (Dazu, Jiangjin, etc.) and other counties such as Dianjiang, Liangping, Kaizhou, Wanzhou, and Zhongxian. The spatiotemporal transition matrix could well exhibit the risk transition situation, and the risks generally showed no changes over time. The proportions of ‘no-risk no-change’, ‘low-risk no-change’, and ‘medium-risk no-change’ were 10.86%, 33.42%, and 17.25%, respectively, accounting for 61.53% of the coverage area of Chongqing. The proportions of risk increase, risk decline, and risk fluctuation were 13.45%, 17.66%, and 7.36%, respectively. Kernel density analysis was suitable to explore high-risk gathering areas. The peak values of kernel density in the three periods were around 1,110, suggesting that the maximum gathering degree of medium-risk pattern spots basically showed no changes, but the spatial positions of high-risk gathering areas somehow changed. Getis-Ord Gi* analysis was suitable to explore the relationships between hot and cold spots. Counties with high pollution risks were Yongchuan, Shapingba, Dianjiang, Liangping, northwestern Fengdu, and Zhongxian, while counties with low risks were Chengkou, Wuxi, Wushan, Pengshui, and Rongchang. High-value hot spot zones gradually dominated in the northeast of Chongqing, while low-value cold spot zones gradually dominated in the Midwest. Our results provide a scientific base for the development of strategies to prevent and control AGNPS in Chongqing.

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