Add to ORKGMethods of analysis on a spherical earth are reviewed. The techniques are relevant to both point data and data from field variables (functions that are continuous and everywheredefined on the sphere). The background mathematics and statistics applicable to spherical surfaces are presented. The probability density function (pdf) for nearest neighbor distance on a sphere generated by a Poisson process is derived. The use of spherical analysis in conjunction with global geographic information systems is detailed. This review is relevant to researchers in geography, global change and related fields who study processes at global scales
The paper presents the basic features of spherical data: application area, visualization techniques,...
The objective of spatial analysis techniques is to describe the patterns existing in spatial data an...
Many of the most fundamental forces in nature are dependent of the relative distance between points....
Methods of analysis on a spherical earth are reviewed. The techniques are relevant to both point dat...
This book presents, in a consistent and unified overview, results and developments in the field of t...
Abstract A novel scale space approach, SphereSiZer, is proposed for exploring structure in spherica...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
A spatial point process is a random pattern of points on a space $A \subseteq \mathbb{R}^d$. Typical...
Many applications in spatial statistics involve data observed over large re-gions on the Earth’s sur...
<p>In this article, we propose stationary covariance functions for processes that evolve temporally ...
In this project proposal, the technique to get a random point on the surface of the Earth was discus...
Recent years have seen an increased interest in the application of methods and techniques commonly a...
While the new economic geography of trade and location has, understandably enough, concentrated on d...
This letter characterizes the statistics of the contact distance and the nearest neighbor (NN) dista...
The paper presents the basic features of spherical data: application area, visualization techniques,...
The objective of spatial analysis techniques is to describe the patterns existing in spatial data an...
Many of the most fundamental forces in nature are dependent of the relative distance between points....
Methods of analysis on a spherical earth are reviewed. The techniques are relevant to both point dat...
This book presents, in a consistent and unified overview, results and developments in the field of t...
Abstract A novel scale space approach, SphereSiZer, is proposed for exploring structure in spherica...
We develop statistical methods for analysing a pattern of points on a region of the sphere, includin...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
A spatial point process is a random pattern of points on a space $A \subseteq \mathbb{R}^d$. Typical...
Many applications in spatial statistics involve data observed over large re-gions on the Earth’s sur...
<p>In this article, we propose stationary covariance functions for processes that evolve temporally ...
In this project proposal, the technique to get a random point on the surface of the Earth was discus...
Recent years have seen an increased interest in the application of methods and techniques commonly a...
While the new economic geography of trade and location has, understandably enough, concentrated on d...
This letter characterizes the statistics of the contact distance and the nearest neighbor (NN) dista...
The paper presents the basic features of spherical data: application area, visualization techniques,...
The objective of spatial analysis techniques is to describe the patterns existing in spatial data an...
Many of the most fundamental forces in nature are dependent of the relative distance between points....