Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Lecture Notes in Earth Sciences

Name: Lecture Notes in Earth Sciences
Brand: Springer
SKU: 03619052
Price: 53.79 EUR
Availability: InStock
Author: Michael Tiefelsdorf
ISBN: 9783540662082

The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran’s I

Michael Tiefelsdorf

Language

English

Book Paperback

Libristo code: 03619052

Publishers Springer, November 1999

A novel methodology is put forward in this book, which empowers researchers to investigate and ident... Full description

Libristo code: 03619052

132 b

53.79 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

Up to 30 days for returns

Customers also purchased

Keunstliche Intelligenz Thomas Christaller

Paperback

55.29 €

ARI. LA CULTURA DE LA SATISFACCION Galbraith

Paperback

19.69 €

Semente de Estrelas: Livro de Poemas Gentil Saraiva Junior

Paperback

11.59 €

Maluszkowe malowanie Pieski praca zbiorowa

Paperback

0.39 €

Lettres Croisees Jean-Paul Alegre

Paperback

15.39 €

PIERRE MAX DUBOIS: SONATE D'ETUDE (SAXOPHONE SOLO) DUBOIS Book

binding.

32.09 €

Nostalgia Inquietante Carvalho Vera Carvalho

Paperback

10.69 €

Les Secrets de L'Eternité Gabrielle Lore

Paperback

17.39 €

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.