Suchergebnisse - Spatial Point Patterns in Science

Spatial points patterns: Difference between real and simulated points patterns

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Analyzing multi-scale spatial point patterns in a pyramid modeling framework von 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 …”
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Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data von 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 …”
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Bounded risk disposition explains Turing patterns and tipping points during spatial contagions von 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 …”
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A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data von Zhang, Guiming, Zhu, A-Xing, Huang, Qunying

“… Kernel density estimation (KDE) is a classic approach for spatial point pattern analysis …”
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Fractals and Spatial Statistics of Point Patterns von Agterberg, Frederik P.

“… The relationship between fractal point pattern modeling and statistical methods of pa- rameter estimation in point-process modeling is reviewed …”
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Massively parallel spatial point pattern analysis: Ripley's K function accelerated using graphics processing units von 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 …”
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Novel gross and actual density insights for density pattern classification in spatial point datasets von Jalal, Shazad Jamal

“… An essential aspect of spatial science is determining and classifying density patterns in spatial point data …”
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A scale-sensitive approach for comparing and classifying point patterns von 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 …”
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Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring von 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 …”
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Spatial point pattern analysis and industry concentration von 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 …”
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Determining physical and operational factors influencing pipeline leakage location pattern in water distribution networks using spatial poisson point process von 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 …”
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Some methods of estimating the spatial pattern point data with application ( comparative study) von 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 …”
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Spatial Dynamics of Natural Regeneration in Two Differently Managed Pinus sylvestris Stands before and after Silvicultural Intervention Using Replicated Spatial Point Patterns von 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 …”
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Windstorm damage and forest recovery: accelerated succession, stand structure, and spatial pattern over 25 years in two Minnesota forests von 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 …”
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Comparison of ground- and aerial-based approaches for quantifying polygonal terrain network geometry on Earth and Mars via spatial point pattern analysis von 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 …”
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Visualizing patterns in spatially ambiguous point data von 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 …”
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Event pattern analysis: the point density around the appearance and disappearance of points von Sadahiro, Yukio

“… Point pattern analysis is a fundamental analytical tool in various academic fields related to spatial information science …”
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Using survival analysis to study spatial point patterns in geographical epidemiology von Reader, Steven

“… The spatial K-function has become a well accepted method of investigating whether significant clustering can be detected in spatial point patterns …”
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DEVELOPING APACHE SPARK BASED RIPLEY’S K FUNCTIONS FOR ACCELERATING SPATIOTEMPORAL POINT PATTERN ANALYSIS von 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 …”
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