Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 25,21
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In den WarenkorbZustand: Good. Volume 87. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9783540662082.
Anbieter: Plurabelle Books Ltd, Cambridge, Vereinigtes Königreich
Verbandsmitglied: GIAQ
Erstausgabe
EUR 29,18
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In den WarenkorbPaperback. Zustand: As New. Series: Lecture Notes in Earth Sciences. xiii 167p brown paperback, excellent fresh copy, note by the author inserted Altersfreigabe FSK ab 0 Jahre Language: English.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 61,76
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
24 x 16 cm, Broschur. XVIII, 167 S. Einband berieben und gequetscht. Sprache: Englisch Gewicht in Gramm: 550.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 78,71
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. illustrated edition edition. 167 pages. 9.25x6.25x0.25 inches. In Stock.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A novel methodology is put forward in this book, which empowers researchers to investigate and identify potential spatial processes among a set of regions. Spatial processes and their underlying functional spatial relationships are commonly observed in the geosciences and related disciplines. Examples are spatially autocorrelated random variables manifesting themselves in distinct global patterns as well as local clusters and hot spots, or spatial interaction leading to stochastic ties among the regions. An example from observational epidemiology demonstrates the flexibility of Moran's approach by analyzing the spatial distribution of cancer data from several perspectives. Recent advances in computing technology, computer algorithms, statistical techniques and global and local spatial patterns by means of Moran's I feasability. Moran's I is an extremely versatile tool for exploring and analyzing spatial data and testing spatial hypotheses.