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 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.

scholarly journals Spatial Distribution of Public Housing and Urban Socio-Spatial Inequalities: An Exploratory Analysis of the Valencia Case

2021 ◽  
Vol 13 (20) ◽  
pp. 11381
Author(s):  
Alfonso Gallego-Valadés ◽  
Francisco Ródenas-Rigla ◽  
Jorge Garcés-Ferrer
Keyword(s):  
Spatial Distribution ◽  
Public Housing ◽  
Low Income ◽  
Spatial Data ◽  
Distribution Patterns ◽  
Point Pattern Analysis ◽  
Spatial Data Analysis ◽  
Point Pattern ◽  
Clustering Methods ◽  
Spatial Inequalities

The urban spatial distribution of public housing is not a widely addressed issue in Spain, from a geographical perspective. This paper analyses the spatial distribution of public housing in the city of Valencia (Spain), as well as to identify its relationship with other socio-residential characteristics of the urban environment. Different techniques of spatial point pattern analysis, exploratory spatial data analysis (ESDA) and clustering methods are implemented. We analyse both the univariate spatial patterns of public housing and its relationship with two variables: a low-income population and median monthly rent. Analysis has revealed that public housing follows a pattern of partial agglomeration and mostly peripheral dispersion in its spatial distribution. However, there does not seem to be a univocal and immanent relationship between such distribution patterns and the characteristics of the socio-residential environment. Conversely, it is possible to point to the existence of multiple local forms of association. The lack of a clear pattern may be due to many reasons: the heterogeneity of profiles eligible for public housing, the size of the projects and the spatial dispersion in their location.

Effects of different disturbance measures on spatial distribution patterns of understory plants in Phyllostachys edulis forests

2014 ◽  
Vol 21 (6) ◽  
pp. 709-714
Author(s):  
Fan Yanrong ◽  
Chen Shuanglin ◽  
Lin Hua ◽  
Yang Qingping ◽  
Hong Yicong ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Distribution Patterns ◽  
Phyllostachys Edulis ◽  
Spatial Distribution Patterns ◽  
Understory Plants
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