<p>Modern physics is confronted with a large variety of complex spatial patterns. Although both spatial statisticians and statistical physicists study random geometrical structures, there has been only little interaction between the two up to now because of different traditions and languages. <BR>Th
Statistical Physics and Spatial Statistics: The Art of Analyzing and Modeling Spatial Structures and Pattern Formation
โ Scribed by Dietrich Stoyan (auth.), Klaus R. Mecke, Dietrich Stoyan (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2000
- Tongue
- English
- Leaves
- 402
- Series
- Lecture Notes in Physics 554
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Statistical Physics; Geometry; Condensed Matter; Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences
๐ SIMILAR VOLUMES
A collection of the majority of papers presented at the all German workshop 'Spatial Physics and Spatial Statistics,' held at the University of Wuppertal, February 22-24, 1999. Each of these papers present and use geometric concepts to study random spatial configurations.
Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plat
Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plat
<P>Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, <STRONG>Sta