MARC details
| 000 -LEADER |
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| fixed length control field |
04882cam a2200337 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
16680476 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20160715192728.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
110307s2011 enkab b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2011007382 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780131789333 (pbk.) |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Indian Institute for Human Settlements-Bangalore |
| Transcribing agency |
DLC |
| Modifying agency |
IIHS |
| Language of cataloging |
eng |
| Description conventions |
rda |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
pcc |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
910.015195 HAR |
| Edition number |
23 |
| Item number |
008613 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Harris, Richard. |
| 245 10 - TITLE STATEMENT |
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| Title |
Statistics in geography and environmental science / |
| Statement of responsibility, etc |
Richard Harris, Claire Jarvis. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Routledge, |
| Date of publication, distribution, etc |
2013. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xvii, 262 pages : |
| Other physical details |
illustrations, maps ; |
| Dimensions |
25 cm. |
| 336 ## - Content type term (R) |
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| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| 337 ## - Media Type (R) |
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| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Machine generated contents note: 1.Data, statistics and geography<br/>Chapter overview<br/>Learning objectives<br/>1.1.Statistics: a brief introduction<br/>1.2.Why you should study statistics<br/>1.3.Types of statistic<br/>1.4.Analysis and error<br/>1.5.Geographical data and analysis<br/>1.6.Some problems when analysing geographical data<br/>Key points<br/>References<br/>2.Descriptive statistics<br/>2.1.Data and variables<br/>2.2.Simple ways to make sense of and present data<br/>2.3.Some useful notation<br/>2.4.A second data set<br/>2.5.Measures of central tendency<br/>2.6.Some measures of spread and variation<br/>2.7.Presenting the centre and spread of data<br/>2.8.Types of numeric data<br/>2.9.Conclusion<br/>3.The normal curve<br/>3.1.Introducing the normal curve<br/>3.2.Models, error and uncertainty<br/>3.3.Why are the data [approximately] normal?<br/>Contents note continued: 3.4.Important properties of a normal curve<br/>3.5.An experiment<br/>3.6.Probability and the normal curve<br/>3.7.Worked examples<br/>3.8.z values and the standard normal curve<br/>3.9.Signs of non-normality<br/>3.10.Moments of a distribution<br/>3.11.The quantile plot<br/>3.12.Conclusion<br/>4.Sampling<br/>4.1.Introduction<br/>4.2.The process of sampling, phase 1: scope and scale<br/>4.3.The process of sampling, phase 1: issues<br/>4.4.The process of sampling, phase 2: sampling method<br/>4.5.Sampling methods: issues and practicalities<br/>5.From description to inference<br/>5.1.About inference<br/>5.2.A measure of unreliability<br/>5.3.What is a population?<br/>5.4.A geographical example<br/>5.5.A thought experiment<br/>5.6.Why the thought experiment is useful<br/>5.7.Calculating the standard error<br/>5.8.Confidence intervals<br/>Contents note continued: 5.9.Consolidation and worked examples<br/>5.10.Finding a 99.9% or any other confidence interval<br/>5.11.Calculating a confidence interval for a small sample<br/>5.12.Conclusion<br/>6.Hypothesis testing<br/>6.1.Detecting difference<br/>6.2.Hypothesis testing and the one-sample t test<br/>6.3.One-tailed tests of difference<br/>6.4.Power, error and research design<br/>6.5.The two-sample t test and the F test<br/>6.6.Additional notes about the t test<br/>6.7.Analysis of variance<br/>6.8.Non-parametric tests<br/>6.9.Conclusion: from detection to explanation<br/>7.Relationships and explanations<br/>7.1.Looking for relationships<br/>7.2.Using scatter plots<br/>7.3.Independent and dependent variables<br/>7.4.Correlation<br/>7.5.Complications with the correlation coefficient<br/>7.6.Bivariate [two-variable] regression<br/>Contents note continued: 7.7.Interpreting regression analysis<br/>7.8.Assumptions of regression analysis<br/>7.9.Checking the residuals<br/>7.10.What to do if the residuals do not meet the regression assumptions<br/>7.11.Multiple regression<br/>7.12.Interpreting multiple regression<br/>7.13.Assumptions of multiple regression<br/>7.14.Partial regression plots<br/>7.15.A strategy for multiple regression<br/>7.16.The strength of the effects and the problem of `too much power'<br/>7.17.Using the F test to compare regression models<br/>7.18.Uses of regression<br/>7.19.Other types of regression model<br/>8.Detecting and managing spatial dependency<br/>8.1.Introduction<br/>8.2.Why does spatial dependency matter in the context of quantitative geographical analyses?<br/>8.3.Looking for spatial autocorrelation<br/>8.4.Global measures of spatial autocorrelation<br/>8.5.Other measures of global autocorrelation<br/>8.6.Conclusion<br/>Contents note continued: Key points<br/>9.Exploring spatial relationships<br/>9.1.Introduction<br/>9.2.Mapping with cartograms<br/>9.3.Spatial analysis and spatial autocorrelation<br/>9.4.Who's my neighbour? Defining a weights matrix<br/>9.5.Spatial error model<br/>9.6.Spatial lagged y model<br/>9.7.Geographically weighted regression [GWR]<br/>9.8.Local indicator of spatial association [LISA]<br/>9.9.Modelling at multiple scales<br/>9.10.Geography, computation and statistics<br/>References. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Geography |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Environmental sciences |
| General subdivision |
Statistical methods. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Jarvis, Claire. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
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| Materials specified |
Table of contents |
| Uniform Resource Identifier |
<a href="http://www.openisbn.com/isbn/0131789333/">http://www.openisbn.com/isbn/0131789333/</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
