Search Results - Spatial Point Patterns in Science

Spatial points patterns: Difference between real and simulated points patterns

Get full text

Analyzing multi-scale spatial point patterns in a pyramid modeling framework by Qiang, Yi, Buttenfield, Barbara, Xu, Jinwen

“… The utility of the PM is tested in examining quadrat density and kernel density, which are commonly used measures of point patterns…”
Get full text

Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data by Zhang, Xiaoxiang, Yao, Jing, Sila-Nowicka, Katarzyna, Song, Chonghui

“…Detection of geographic concentration of economic activities at different spatial scales has long been of interest to researchers from spatial economics, regional science and economic geography…”
Get full text

Bounded risk disposition explains Turing patterns and tipping points during spatial contagions by Jamerlan, C. M., Prokopenko, M.

“…Spatial contagions, such as pandemics, opinion polarization, infodemics and civil unrest, exhibit non-trivial spatio-temporal patterns and dynamics driven by complex human behaviours and population mobility…”
Get full text

A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data by Zhang, Guiming, Zhu, A-Xing, Huang, Qunying

“…Kernel density estimation (KDE) is a classic approach for spatial point pattern analysis…”
Get full text

Fractals and Spatial Statistics of Point Patterns by Agterberg, Frederik P.

“…The relationship between fractal point pattern modeling and statistical methods of pa- rameter estimation in point-process modeling is reviewed…”
Get full text

Massively parallel spatial point pattern analysis: Ripley's K function accelerated using graphics processing units by Tang, Wenwu, Feng, Wenpeng, Jia, Meijuan

“…) to accelerate Ripley's K function for univariate spatial point pattern analysis. Ripley's K function is a representative spatial point pattern analysis approach that allows…”
Get full text

Novel gross and actual density insights for density pattern classification in spatial point datasets by Jalal, Shazad Jamal

“…An essential aspect of spatial science is determining and classifying density patterns in spatial point data…”
Get full text

A scale-sensitive approach for comparing and classifying point patterns by Sadahiro, Yukio, Liu, Yan

“…This paper proposes a novel method for comparing and classifying point patterns. The method explicitly considers the spatial scale since the evaluation of similarity depends on the scale at which one compares point patterns…”
Get full text

Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring by Ogata, Yosihiko

“…) in spatial point pattern. We use the Thomas models on a plane, namely, Neyman–Scott process of a two-dimensional Gaussian-type or its extension to the multi-type species…”
Get full text

Spatial point pattern analysis and industry concentration by Kosfeld, Reinhold, Eckey, Hans-Friedrich, Lauridsen, Jørgen

“… Methods of spatial point pattern analysis allow one to measure industry concentration at a continuum of spatial scales…”
Get full text

Determining physical and operational factors influencing pipeline leakage location pattern in water distribution networks using spatial poisson point process by Nugroho, W, Iriawan, N, Utomo, C

“… The data in this study consist of spatial data and quantitative data. Poisson distribution in the spatial point process is used as the leakage point distribution approximation…”
Get full text

Some methods of estimating the spatial pattern point data with application ( comparative study) by Jaufar Mousa Mohammed

“…The idea of this paper is to estimate spatial data points pattern by Inverse distance weighting, Teard surface analysis of first order and Ordinary kriging method, we calculate the mean absolute error…”
Get full text

Spatial Dynamics of Natural Regeneration in Two Differently Managed Pinus sylvestris Stands before and after Silvicultural Intervention Using Replicated Spatial Point Patterns by Pardos, Marta, Montes, Fernando, Canellas, Isabel

“…). The spatial pattern of the seedlings was analyzed through the L(d) function. The spatial relationship between seedlings before and after the regeneration felling was analyzed using the intertype L(rs) (d) function…”
Get full text

Windstorm damage and forest recovery: accelerated succession, stand structure, and spatial pattern over 25 years in two Minnesota forests by Allen, Matthew S., Thapa, Vaskar, Arévalo, José Ramón, Palmer, Michael W.

“… We address the question: how did the storm alter stand architecture and spatial pattern and how did this affect recovery and recruitment…”
Get full text

Comparison of ground- and aerial-based approaches for quantifying polygonal terrain network geometry on Earth and Mars via spatial point pattern analysis by Haltigin, Tim, Pollard, Wayne, Dutilleul, Pierre

“…Recently, a particular statistical method – spatial point pattern analysis (SPPA) – has been introduced as an effective means by which qualitative, observable…”
Get full text

Visualizing patterns in spatially ambiguous point data by Huck, Jonny, Whyatt, Duncan, Coulton, Paul

“… This spatial information will often comprise a place name that may be "geocoded" into coordinates, and displayed on a map, frequently using a "heatmap-style" visualization to reveal patterns in the data…”
Get full text

Event pattern analysis: the point density around the appearance and disappearance of points by Sadahiro, Yukio

“…Point pattern analysis is a fundamental analytical tool in various academic fields related to spatial information science…”
Get full text

Using survival analysis to study spatial point patterns in geographical epidemiology by Reader, Steven

“…The spatial K-function has become a well accepted method of investigating whether significant clustering can be detected in spatial point patterns…”
Get full text

DEVELOPING APACHE SPARK BASED RIPLEY’S K FUNCTIONS FOR ACCELERATING SPATIOTEMPORAL POINT PATTERN ANALYSIS by Gui, Z., Wang, Y., Cui, Z., Peng, D., Wu, J., Ma, Z., Luo, S., Wu, H.

“…Ripley’s K functions are powerful tools for studying the spatial arrangement or spatiotemporal distribution characteristics of geographic phenomena and events in spatial analysis and has been used in many fields…”
Get full text