scholarly journals Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis

2016 ◽  
Vol 13 (8) ◽  
pp. 833 ◽  
Author(s):  
Jianhua Ni ◽  
Tianlu Qian ◽  
Changbai Xi ◽  
Yikang Rui ◽  
Jiechen Wang
Keyword(s):  
Spatial Distribution ◽  
Correlation Analysis ◽  
Pattern Analysis ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Distribution Characteristics ◽  
Healthcare Facilities ◽  
Spatial Distribution Characteristics

scholarly journals Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data

2019 ◽  
Vol 8 (5) ◽  
pp. 207 ◽  
Author(s):  
Xun Zhang ◽  
Guangchi Ma ◽  
Li Jiang ◽  
Xiaohu Zhang ◽  
Ying Liu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Social Network ◽  
Housing Prices ◽  
Population Characteristics ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Distribution Characteristics ◽  
Digital Signage ◽  
Spatial Characteristics ◽  
Spatial Distribution Characteristics

Digital signage is an important medium for urban outdoor advertising. Understanding the spatial distribution characteristics and factors that influence the site of digital signage are conducive to the efficient, standardized, and sustainable development of digital signage. The outdoor commercial digital signage within the Sixth Ring Road in Beijing is taken as the research object, and social network check-ins, housing prices, traffic network centrality and the mount of commercial facilities are considered factors that influence digital signage. The spatial distribution characteristics of digital signage are studied by using point pattern analysis methods. Moreover, we use three spatial clustering algorithms to study the hierarchical spatial characteristics of digital signage and test the effectiveness of the results. In addition, the factors that influence the distribution of digital signage are analyzed by Spearman correlation analysis. The results indicate that (1) the digital signage in Beijing generally presents a relatively concentrated distribution with centrality and forms an obvious gathering area and the agglomeration centers are mainly concentrated in the core parts of the central business district (CBD). (2) Digital signage is categorized into three groups, the traffic-oriented, the population-oriented, and the market-oriented. In addition, the spatial distribution of digital signage is consistent with the historical urban development of Beijing. (3) The social network check-ins with dynamic population characteristics had the highest correlation with the operation cost of digital signage. The spatial characteristics of digital signage evaluated in this study can effectively enhance the sustainable management of digital signage and provide a reference for research of the sustainable allocation of digital signage resources.

scholarly journals Analyzing the Spatial Distribution of Drumlins: A Two-Phase Mosaic Approach

1984 ◽  
Vol 30 (106) ◽  
pp. 302-307
Author(s):  
B. N. Boots ◽  
R. K. Burns
Keyword(s):  
Spatial Distribution ◽  
Pattern Analysis ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Statistical Bias ◽  
Two Phase ◽  
Alternative Approach ◽  
Mosaic Approach ◽  
The Individual

AbstractResearchers have analyzed various properties of drumlins within individual drumlin fields in order to provide evidence to help in identifying the processes involved in drumlin formation. One property which has been examined is the spatial distribution of drumlins within a field. Traditionally, in such endeavours the individual drumlins have been represented as points and their distribution examined using techniques of point-pattern analysis. We suggest that not only is such a representation inappropriate at this scale, it also introduces statistical bias which makes the results of such analyses questionable. Consequently, we propose an alternative approach which involves representing individual drumlins as areal phenomena and considering their pattern as a two-phase mosaic. The advantages of such an approach are discussed and it is illustrated by applying it to two different drumlin fields.

scholarly journals Spatial distribution patterns of plague hosts: point pattern analysis of the burrows of great gerbils in Kazakhstan

2015 ◽  
Vol 42 (7) ◽  
pp. 1281-1292 ◽  
Author(s):  
Liesbeth I. Wilschut ◽  
Anne Laudisoit ◽  
Nelika K. Hughes ◽  
Elisabeth A. Addink ◽  
Steven M. de Jong ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Pattern Analysis ◽  
Distribution Patterns ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Spatial Distribution Patterns

scholarly journals Analyzing the Spatial Distribution of Drumlins: A Two-Phase Mosaic Approach

1984 ◽  
Vol 30 (106) ◽  
pp. 302-307 ◽  
Author(s):  
B. N. Boots ◽  
R. K. Burns
Keyword(s):  
Spatial Distribution ◽  
Pattern Analysis ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Statistical Bias ◽  
Two Phase ◽  
Alternative Approach ◽  
Mosaic Approach ◽  
The Individual

AbstractResearchers have analyzed various properties of drumlins within individual drumlin fields in order to provide evidence to help in identifying the processes involved in drumlin formation. One property which has been examined is the spatial distribution of drumlins within a field. Traditionally, in such endeavours the individual drumlins have been represented as points and their distribution examined using techniques of point-pattern analysis. We suggest that not only is such a representation inappropriate at this scale, it also introduces statistical bias which makes the results of such analyses questionable. Consequently, we propose an alternative approach which involves representing individual drumlins as areal phenomena and considering their pattern as a two-phase mosaic. The advantages of such an approach are discussed and it is illustrated by applying it to two different drumlin fields.

scholarly journals Spatial point pattern analysis of prehospital naloxone administrations

2017 ◽  
Author(s):  
Christopher Ryan
Keyword(s):  
United States ◽  
Monte Carlo Simulation ◽  
Spatial Distribution ◽  
Pattern Analysis ◽  
Spatial Clustering ◽  
The United States ◽  
Point Pattern Analysis ◽  
Point Pattern ◽  
Opioid Overdose ◽  
Spatial Point

AbstractObjectivesThe increasing problem in the United States with opioid dependence and overdose, often fatal, is well-recognized. As naloxone has only one clinical use—the treatment of opioid overdose—its administration by EMS personnel can serve as a surveillance indicator for opioid overdose. This study uses specific locations of EMS calls, and methods of point pattern analysis, to detect overall spatial clustering among EMS naloxone administrations compared to EMS calls in general.Study DesignA cross-sectional study of incident locations of EMS responses in a three-county EMS region in the United States.MethodsRepeated random samples from the spatial distribution of all EMS calls were used, in a Monte Carlo simulation, to represent the background inhomogeneity of the population. Observed F, G, and inhomogeneous K and L functions from the spatial distribution of naloxone-involved calls were compared to their null sampling distributions obtained from the Monte Carlo simulation.ResultsCases of naloxone administration demonstrated spatial clustering in the range of 0 to 5000 meters, and particularly around 2500 meters, beyond what could be attributable to the spatial heterogeneity of all EMS calls.ConclusionsEfforts to understand the fundamental nature of opioid overdose as a spatial point process could yield innovative public health interventions to control the epidemic.

scholarly journals Application of the method of spatial point pattern analysis to the horizontal spatial distribution of preferential flow paths

2015 ◽  
Vol 91 (04) ◽  
pp. 384-394
Author(s):  
Wenxing Lu ◽  
Jinhua Cheng ◽  
Wei Wang ◽  
Hongjiang Zhang ◽  
Hongwen Zhou
Keyword(s):  
Spatial Distribution ◽  
Preferential Flow ◽  
Pattern Analysis ◽  
Point Pattern Analysis ◽  
Plant Roots ◽  
Water Volume ◽  
Point Pattern ◽  
Analysis Method ◽  
Flow Paths ◽  
Preferential Flow Paths

Preferential flow significantly influences hydrological processes in forests. The occurrence and development of this flow is directly affected by its spatial distribution. To determine whether or not point pattern analysis method can be used to examine the horizontal spatial distribution of preferential flow paths, experiments were conducted with dye tracer permeation to observe flow processes. Results indicated that an increase in penetration water volume exerted only a specific effect on preferential flow paths of large class in the topmost soil. Moreover, such paths showed distinct clumped patterns at the 25-cm scale under both high permeation water volume and low permeation water volume treatments. Nonetheless, the distribution pattern became uniform as scale range increased. The significance of the correlation between the spatial distribution of preferential flow paths and plant roots decreased from the top soil layer to the bottom. These findings suggest that soil depth and water permeation volume are important to the horizontal spatial distribution of preferential flow paths. Moreover, point pattern analysis method is suitable for investigating the horizontal spatial distribution of preferential flow paths and determining the correlation between the spatial distribution of preferential flow paths and plant roots.

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