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Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910460107103321 |
Acevedo Miguel F.
|
||
| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910796911603321 |
|
Acevedo Miguel F.
|
||
| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo
| Data analysis and statistics for geography, environmental science, and engineering / / by Miguel F. Acevedo |
| Autore | Acevedo Miguel F. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 |
| Descrizione fisica | 1 online resource (549 p.) |
| Disciplina | 519.5 |
| Soggetto topico |
Geography - Data processing
Geography - Statistical methods Environmental sciences - Data processing Environmental sciences - Statistical methods Engineering - Data processing Engineering - Statistical methods |
| ISBN | 0-429-16914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models
Chapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover |
| Record Nr. | UNINA-9910800166303321 |
|
Acevedo Miguel F.
|
||
| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Elementary Statistics for Geographers, Third Edition
| Elementary Statistics for Geographers, Third Edition |
| Autore | Burt James E |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | New York : , : Guilford Publications, , 2009 |
| Descrizione fisica | 1 online resource (669 pages) |
| Disciplina | 519.502491 |
| Altri autori (Persone) |
BarberGerald M
RigbyDavid L BurtJames E |
| Soggetto topico | Geography - Statistical methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title Page -- Title Page -- Copyright Page -- Preface -- Contents -- I. INTRODUCTION -- 1. Statistics and Geography -- 1.1. Statistical Analysis and Geography -- 1.2. Data -- 1.3. Measurement Evaluation -- 1.4. Data and Information -- 1.5. Summary -- II. DESCRIPTIVE STATISTICS -- 2. Displaying and Interpreting Data -- 2.1. Display and Interpretation of the Distributions of Qualitative Variables -- 2.2. Display and Interpretation of the Distributions of Quantitative Variables -- 2.3. Displaying and Interpreting Time-Series Data -- 2.4. Displaying and Interpreting Spatial Data -- 2.5. Summary -- 3. Describing Data with Statistics -- 3.1. Measures of Central Tendency -- 3.2. Measures of Dispersion -- 3.3. Higher Order Moments or Other Numerical Measures of the Characteristics of Distributions -- 3.4. Using Descriptive Statistics with Time-Series Data -- 3.5. Descriptive Statistics for Spatial Data -- 3.6. Summary -- Appendix 3a. Review of Sigma Notation -- Appendix 3b. An Iterative Algorithm for Determining the Weighted or Unweighted Euclidean Median -- 4. Statistical Relationships -- 4.1. Relationships and Dependence -- 4.2. Looking for Relationships in Graphs and Tables -- 4.3. Introduction to Correlation -- 4.4. Introduction to Regression -- 4.5. Temporal Autocorrelation -- 4.6. Summary -- Appendix 4a. Review of the Elementary Geometry of a Line -- Appendix 4b. Least Squares Solution via Elementary Calculus -- III. INFERENTIAL STATISTICS -- 5. Random Variables and Probability Distributions -- 5.1. Elementary Probability Theory -- 5.2. Concept of a Random Variable -- 5.3. Discrete Probability Distribution Models -- 5.4. Continuous Probability Distribution Models -- 5.5. Bivariate Random Variables -- 5.6. Summary -- Appendix 5a. Counting Rules for Computing Probabilities.
Appendix 5b. Expected Value and Variance of a Continuous Random Variable -- 6. Sampling -- 6.1. Why Do We Sample? -- 6.2. Steps in the Sampling Process -- 6.3. Types of Samples -- 6.4. Random Sampling and Related Probability Designs -- 6.5. Sampling Distributions -- 6.6. Geographic Sampling -- 6.7. Summary -- 7. Point and Interval Estimation -- 7.1. Statistical Estimation Procedures -- 7.2. Point Estimation -- 7.3. Interval Estimation -- 7.4. Sample Size Determination -- 7.5. Summary -- 8. One-Sample Hypothesis Testing -- 8.1. Key Steps in Classical Hypothesis Testing -- 8.2. PROB-VALUE Method of Hypothesis Testing -- 8.3. Hypothesis Tests Concerning the Population Mean μ and π -- 8.4. Relationship between Hypothesis Testing and Confidence Interval Estimation -- 8.5. Statistical Significance versus Practical Significance -- 8.6. Summary -- 9. Two-Sample Hypothesis Testing -- 9.1. Difference of Means -- 9.2. Difference of Means for Paired Observations -- 9.3. Difference of Proportions -- 9.4. The Equality of Variances -- 9.5. Summary -- 10. Nonparametric Methods -- 10.1. Comparison of Parametric and Nonparametric Tests -- 10.2. One- and Two-Sample Tests -- 10.3. Multisample Kruskal-Wallis Test -- 10.4. Goodness-of-Fit Tests -- 10.5. Contingency Tables -- 10.6. Estimating a Probability Distribution: Kernel Estimates -- 10.7. Bootstrapping -- 10.8. Summary -- 11. Analysis of Variance -- 11.1. The One-Factor, Completely Randomized Design -- 11.2. The Two-Factor, Completely Randomized Design -- 11.3. Multiple Comparisons Using the Scheffé Contrast -- 11.4. Assumptions of the Analysis of Variance -- 11.5. Summary -- Appendix 11a. Derivation of Equation 11-11 from Equation 11-10 -- 12. Inferential Aspects of Linear Regression -- 12.1. Overview of the Steps in a Regression Analysis -- 12.2. Assumptions of the Simple Linear Regression Model. 12.3. Inferences in Regression Analysis -- 12.4. Graphical Diagnostics for the Linear Regression Model -- 12.5. Summary -- 13. Extending Regression Analysis -- 13.1. Multiple Regression Analysis -- 13.2. Variable Transformations and the Shape of the Regression Function -- 13.3. Validating a Regression Model -- 13.4. Summary -- IV. PATTERNS IN SPACE AND TIME -- 14. Spatial Patterns and Relationships -- 14.1. Point Pattern Analysis -- 14.2. Spatial Autocorrelation -- 14.3. Local Indicators of Spatial Association -- 14.4. Regression Models with Spatially Autocorrelated Data -- 14.5. Geographically Weighted Regression -- 14.6. Summary -- 15. Time Series Analysis -- 15.1. Time Series Processes -- 15.2. Properties of Stochastic Processes -- 15.3. Types of Stochastic Processes -- 15.4. Removing Trends: Transformations to Stationarity -- 15.5. Model Identification -- 15.6. Model Fitting -- 15.7. Times Series Models, Running Means, and Filters -- 15.8. The Frequency Approach -- 15.9. Filter Design -- 15.10. Summary -- Appendix: Statistical Tables -- Index -- About the Authors. |
| Record Nr. | UNINA-9910148716503321 |
|
Burt James E
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| New York : , : Guilford Publications, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Journal of geovisualization and spatial analysis
| Journal of geovisualization and spatial analysis |
| Pubbl/distr/stampa | [Cham], Switzerland : , : Springer International Publishing, , [2017]- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Geographic information systems
Information visualization Geography - Statistical methods Geospatial data Cartography - Data processing |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2509-8829 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910481979703321 |
| [Cham], Switzerland : , : Springer International Publishing, , [2017]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative geography [[electronic resource] ] : perspectives on spatial data analysis / / A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton
| Quantitative geography [[electronic resource] ] : perspectives on spatial data analysis / / A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton |
| Autore | Fotheringham A. Stewart |
| Pubbl/distr/stampa | London, : SAGE, 2000 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina |
910.285
910.72 |
| Altri autori (Persone) |
BrunsdonChris
CharltonMartin |
| Soggetto topico |
Geography - Statistical methods
Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-4462-2833-9
1-281-24033-8 1-84920-975-8 9786611240332 1-84787-641-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Contents; Preface; 1 Establishing the Boundaries; 2 Spatial Data; 3 The Role of Geographical Information Systems; 4 Exploring Spatial Data Visually; 5 Local Analysis; 6 Point Pattern Analysis; 7 Spatial Regression and Geostatistical Models; 8 Statistical Inference for Spatial Data; 9 Spatial Modelling and the Evolution of Spatial Theory; 10 Challenges in Spatial Data Analysis; Bibliography; Index |
| Record Nr. | UNINA-9910458126703321 |
|
Fotheringham A. Stewart
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| London, : SAGE, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative geography [[electronic resource] ] : perspectives on spatial data analysis / / A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton
| Quantitative geography [[electronic resource] ] : perspectives on spatial data analysis / / A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton |
| Autore | Fotheringham A. Stewart |
| Pubbl/distr/stampa | London, : SAGE, 2000 |
| Descrizione fisica | 1 online resource (xii, 270 p.) : ill., maps |
| Disciplina | 910.285 |
| Altri autori (Persone) |
BrunsdonChris
CharltonMartin |
| Soggetto topico |
Geographic information systems
Spatial analysis (Statistics) Geography - Statistical methods |
| ISBN |
1-4462-2833-9
1-281-24033-8 1-84920-975-8 9786611240332 1-84787-641-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Contents; Preface; 1 Establishing the Boundaries; 2 Spatial Data; 3 The Role of Geographical Information Systems; 4 Exploring Spatial Data Visually; 5 Local Analysis; 6 Point Pattern Analysis; 7 Spatial Regression and Geostatistical Models; 8 Statistical Inference for Spatial Data; 9 Spatial Modelling and the Evolution of Spatial Theory; 10 Challenges in Spatial Data Analysis; Bibliography; Index |
| Record Nr. | UNINA-9910784518003321 |
|
Fotheringham A. Stewart
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||
| London, : SAGE, 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simple statistical tests for geography / / Danny McCarroll
| Simple statistical tests for geography / / Danny McCarroll |
| Autore | McCarroll Danny |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton : , : Chapman & Hall/CRC, , 2016 |
| Descrizione fisica | 1 online resource (359 pages) : illustrations, graphs |
| Disciplina | 519.5 |
| Collana | Chapman & Hall Book |
| Soggetto topico | Geography - Statistical methods |
| ISBN |
1-4987-5894-0
1-315-38043-9 1-4987-5889-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgements -- Author -- 1. Introduction -- 1.1 Is This the Book for You? -- 1.2 How to Use This Book -- 1.3 Why Bother with Statistics? -- 1.4 A Note for Lecturers and Teachers -- References -- 2. How to Use Statistics -- 2.1 Hypotheses -- 2.2 The Null Hypothesis -- 2.3 Bad Hypotheses -- 2.4 Multiple Working Hypotheses -- 2.5 Unbiased Sampling -- 2.6 Probability: Is It Just Luck? -- 2.7 One or Two-Tail Testing -- 2.8 Effect Size -- References -- 3. Different Kinds of Data -- 3.1 Kinds of Data -- 3.1.1 Nominal -- 3.1.2 Ordinal -- 3.1.3 Individual Measurements -- 3.2 Independent or Linked Data? -- 3.3 Assumptions -- 3.3.1 Checking for a 'Normal' or Gaussian Distribution -- 3.4 Choosing the Right Test -- References -- 4. Tools of the Trade -- 4.1 Introduction -- 4.2 Arithmetic -- 4.3 Using a Calculator -- 4.4 Spreadsheets -- 4.4.1 Assigning Ranks in a Spreadsheet -- 4.5 SPSS -- 4.6 R Commander -- 4.7 Descriptive Statistics -- 4.7.1 Measures of the Middle: Mean, Median and Mode -- 4.7.2 Measures of Spread or Dispersion: Range, Variance and Standard Deviation -- 4.7.3 Confidence Limits around the Mean -- 4.7.4 Measures of the Shape of a Distribution: Skewness and Kurtosis -- References -- 5. Single Sample Tests -- 5.1 Introduction -- 5.2 Binomial Test -- 5.2.1 When It Is Useful -- 5.2.2 What It Is Based On -- 5.2.3 How to Do It -- 5.2.3.1 Online Calculators -- 5.2.3.2 In a Spreadsheet -- 5.2.3.3 Companion Site Calculator -- 5.2.3.4 In SPSS -- 5.2.3.5 In R Commander -- 5.2.3.6 By Hand -- 5.2.4 Examples -- 5.2.4.1 Example: Yes or No Questionnaire Answers -- 5.2.4.2 Example: Is There a Gender Bias in My Sample? -- 5.2.4.3 Example: Have the Limestones Been Removed by Weathering? -- 5.2.4.4 Example: Are There Too Few Black Managers in English Football?.
5.3 One-Sample Chi-Square (?2) Test -- 5.3.1 Introduction -- 5.3.2 When It Is Useful -- 5.3.3 What It Is Based On -- 5.3.4 How to Do It -- 5.3.4.1 Companion Site Calculator -- 5.3.4.2 In a Spreadsheet -- 5.3.4.3 In R Commander -- 5.3.4.4 In SPSS -- 5.3.5 Examples -- 5.3.5.1 Example: Beautiful Beaches -- 5.3.5.2 Example: Ethnic Groups -- 5.3.5.3 Example: Dolphin Sightings -- 5.4 Kolmogorov-Smirnov One-Sample Test -- 5.4.1 When It Is Useful -- 5.4.2 What It Is Based On -- 5.4.3 How to Do It -- 5.4.4 Examples -- 5.4.4.1 Example: Are Levels of Agreement Equal? -- 5.4.4.2 Example: Is My Sample Representative? -- 5.5 One Sample Runs Test for Randomness -- 5.5.1 When It Is Useful -- 5.5.2 What It Is Based On -- 5.5.3 How to Do It -- 5.5.3.1 Companion Site Calculators -- 5.5.3.2 In SPSS -- 5.5.3.3 In R Commander -- 5.5.4 Examples -- 5.5.4.1 Example: Nominal Data and Small Sample Sizes -- 5.5.4.2 Example: Large Sample of Individual Numbers -- References -- 6. Two-Sample Tests for Counts in Two Categories -- 6.1 Introduction -- 6.2 Sign Test -- 6.2.1 When It Is Useful -- 6.2.2 What It Is Based On -- 6.2.3 How to Do It -- 6.2.4 Effect Size -- 6.2.5 Examples -- 6.2.5.1 Example: Checking Exam Improvement -- 6.2.5.2 Example: Crystal Healing -- 6.2.5.3 Example: Footpath Erosion -- 6.3 McNemar's Test for Significance of Changes -- 6.3.1 When It Is Useful -- 6.3.2 What It Is Based On -- 6.3.3 How to Do It -- 6.3.4 Effect Size -- 6.3.5 Small Samples -- 6.3.6 Correction for Continuity -- 6.3.7 How to Do It -- 6.3.7.1 Companion Site Calculator -- 6.3.7.2 Online Calculators -- 6.3.7.3 In R Commander -- 6.3.7.4 In SPSS -- 6.3.8 Examples -- 6.3.8.1 Example: Opinions on Fracking -- 6.3.8.2 Example: Land Management -- 6.3.8.3 Example: Golf Green Hydrophobicity (Bad Test) -- 6.4 Tests for Independent Samples Arranged as 2 × 2 Contingency Tables. 6.5 Risk Ratio and Odds Ratio -- 6.5.1 Risk Ratio -- 6.5.2 Odds Ratio -- 6.6 Confidence Limits of the Odds Ratio and Risk Ratio -- 6.6.1 How to Do It -- 6.6.1.1 Companion Site Calculator -- 6.6.1.2 Using an Online Calculator -- 6.6.1.3 In R Commander -- 6.6.1.4 In SPSS -- 6.7 Sample Size Assumptions -- 6.7.1 Calculating Expected Values -- 6.8 Chi-Square Test for a 2 × 2 Contingency Table -- 6.8.1 When It Is Useful -- 6.8.2 What It Is Based On -- 6.8.3 Calculating Chi-Square -- 6.8.4 Continuity Correction (Yates's Correction) -- 6.8.5 Effect Size: Cramer's V -- 6.9 Conducting the Chi-Square Test -- 6.9.1 Companion Site Calculator -- 6.9.2 Online Calculators -- 6.9.3 In R Commander -- 6.9.4 In SPSS -- 6.9.5 Examples -- 6.9.5.1 Example: Organic Produce -- 6.9.5.2 Example: Erratic Content -- 6.9.5.3 Example: Large Sample Parametric Approach -- 6.9.5.4 Example: Common Error with a Solution -- 6.10 Fisher's Exact Test -- 6.10.1 When It Is Useful -- 6.10.2 What It Is Based On -- 6.10.3 How to Do It -- 6.10.3.1 Real Statistics Resource Pack for Excel -- 6.10.3.2 Online Calculators -- 6.10.3.3 In R Commander -- 6.10.3.4 In SPSS -- 6.10.4 Examples -- 6.10.4.1 Example: Small Sample of Snails -- 6.10.4.2 Example: Start-Up Companies -- References -- 7. Two-Sample Tests for Counts in Several Categories -- 7.1 Introduction -- 7.2 Two-Sample Chi-Square Test -- 7.2.1 When It Is Useful -- 7.2.2 What It Is Based On -- 7.2.3 Expected Frequencies -- 7.2.4 Sample Size Assumptions -- 7.2.5 Strength of the Relationship (Cramer's V) -- 7.2.5.1 Calculating Cramer's V -- 7.2.5.2 Where Are the Differences? -- 7.2.6 How to Conduct a Two-Sample Chi-Square Test -- 7.2.6.1 Companion Site Calculators -- 7.2.6.2 Online Calculators -- 7.2.6.3 R Commander -- 7.2.6.4 In SPSS -- 7.2.7 Examples -- 7.2.7.1 Example: Garden Visitors -- 7.2.7.2 Example: Snails (Small Sample). 7.2.7.3 Example: Misuse of Chi-Square -- 7.2.7.4 Example: Common Mistake and a Solution -- 7.3 Fisher's Exact Test for More Than Two Categories -- 7.3.1 When It Is Useful -- 7.3.2 How to Do It -- 7.3.2.1 In R Commander -- 7.3.2.2 In SPSS -- 7.3.3 Examples -- 7.3.3.1 Example: Snails (Small Sample) -- 7.3.3.2 Example: Small Questionnaire -- 7.3.3.3 Example: Failed Test and a Solution -- 7.4 Two-Sample Tests for Counts in Ordered Categories -- 7.5 Kolmogorov-Smirnov Two-Sample Test -- 7.5.1 When It Is Useful -- 7.5.2 How to Perform the Kolmogorov-Smirnov Two-Sample Test with Counts in Categories -- 7.5.2.1 Equal Sample Sizes -- 7.5.2.2 Unequal Sample Sizes -- 7.5.3 One-Tail Testing -- 7.5.4 Effect Size -- 7.5.5 How to Do It -- 7.5.5.1 Companion Site Calculators -- 7.5.5.2 Real Statistics Resource Pack -- 7.5.5.3 In SPSS -- 7.5.6 Examples -- 7.5.6.1 Example: Different Shaped Distributions -- 7.5.6.2 Example: Likert Scale, Small Samples -- 7.5.6.3 Example: Likert Scale, Large Samples -- 7.5.6.4 Example: Odd Case with a Bimodal Distribution -- 7.6 Scoring Categorical Data for Parametric Tests -- 7.6.1 How to Code Categorical Data -- References -- 8. Two-Sample Tests for Individual Measurements -- 8.1 Introduction -- 8.2 Wilcoxon's Matched-Pairs Signed-Ranks Test -- 8.2.1 When It Is Useful -- 8.2.2 What It Is Based On -- 8.2.3 Tied Ranks -- 8.2.4 Effect Size -- 8.2.5 How to Do It -- 8.2.5.1 In a Spreadsheet -- 8.2.5.2 Real Statistics Resource Pack -- 8.2.5.3 Companion Site Calculator -- 8.2.5.4 Online Calculators -- 8.2.5.5 In R Commander -- 8.2.5.6 In SPSS -- 8.2.6 Examples -- 8.2.6.1 Example: Attitudes to Recycling -- 8.2.6.2 Example: Grazing and Plant Diversity -- 8.3 Paired-Samples Student's t-Test -- 8.3.1 When It Is Useful -- 8.3.2 Effect Size -- 8.3.3 How to Do It -- 8.3.3.1 In a Spreadsheet -- 8.3.3.2 Companion Site Calculator. 8.3.3.3 In R Commander -- 8.3.3.4 In SPSS -- 8.3.3.5 Using a Calculator -- 8.3.3.6 Online Calculators -- 8.3.4 Examples -- 8.3.4.1 Example: Examination Marks -- 8.4 Two-Sample Tests for Independent Data with Individual Measurements -- 8.5 Mann-Whitney U-Test -- 8.5.1 When It Is Useful -- 8.5.2 What It Is Based On -- 8.5.3 Dealing with Tied Ranks -- 8.5.4 Effect Size -- 8.5.5 How to Do It -- 8.5.5.1 Online Calculators -- 8.5.5.2 Real Statistics Resource Pack -- 8.5.5.3 In a Spreadsheet -- 8.5.5.4 Companion Site Calculator -- 8.5.5.5 Using R Commander -- 8.5.5.6 In SPSS -- 8.5.6 Examples -- 8.5.6.1 Example: Exam Performance and Gender -- 8.5.6.2 Example: Biochar -- 8.5.6.3 Example: Schmidt Hammer and Glacial Moraines -- 8.6 Student's t-Test for Two Independent Samples -- 8.6.1 When It Is Useful -- 8.6.2 What It Is Based On -- 8.6.3 Effect Size -- 8.6.4 How to Do It -- 8.6.4.1 In a Spreadsheet -- 8.6.4.2 Online Calculators -- 8.6.4.3 Companion Site Calculator -- 8.6.4.4 In R Commander -- 8.6.4.5 In SPSS -- 8.6.5 Examples -- 8.6.5.1 Example: Male Underperformance -- 8.7 Two Independent Samples: Tests for Difference in Variability -- 8.8 The F-Test for Equality of Variance -- 8.8.1 When It Is Useful -- 8.8.2 What It Is Based On -- 8.8.3 How to Do It -- 8.8.3.1 In a Spreadsheet or Companion Site Calculator -- 8.8.3.2 In R Commander -- 8.8.3.3 In SPSS -- 8.8.3.4 Online Calculators -- 8.8.4 Examples -- 8.8.4.1 Example: Organic Strawberries -- 8.9 Non-Parametric Tests for Equality of Variance -- 8.10 Siegel-Tukey Test -- 8.10.1 When It Is Useful -- 8.10.2 What It Is Based On -- 8.10.3 How to Do It -- 8.10.3.1 Online Calculators and Spreadsheets -- 8.10.3.2 In R Commander -- 8.10.3.3 In SPSS -- 8.10.4 Examples -- 8.10.4.1 Example: Extremity of Opinion -- 8.10.5 'Measuring from the Middle' Approach -- 8.11 Kolmogorov-Smirnov Two-Sample Test for Continuous Data. 8.11.1 When It Is Useful. |
| Record Nr. | UNINA-9910149555303321 |
|
McCarroll Danny
|
||
| Boca Raton : , : Chapman & Hall/CRC, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial data analysis : an introduction for GIS users / / Christopher D. Lloyd [[electronic resource]]
| Spatial data analysis : an introduction for GIS users / / Christopher D. Lloyd [[electronic resource]] |
| Autore | Lloyd Christopher D |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2010 |
| Descrizione fisica | 1 online resource (xi, 206 p. ) : ill., maps ; |
| Disciplina | 910.01/5195 |
| Soggetto topico |
Geography - Statistical methods
Geographic information systems Geography Earth & Environmental Sciences Geography-General |
| ISBN | 9781628701753 (Ebook) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Key concepts 1: GIS -- Key concepts 2: statistics -- Key concepts 3: spatial data analysis -- Combining data layers -- Network analysis -- Exploring spatial point patterns -- Exploring spatial patterning in data values -- Spatial interpolation -- Analysis of grids and surfaces. |
| Record Nr. | UNINA-9911006602103321 |
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Lloyd Christopher D
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| Oxford ; ; New York, : Oxford University Press, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Spatial statistics : geospatial information modeling and thematic mapping / / by Mohammed A. Kalkhan
| Spatial statistics : geospatial information modeling and thematic mapping / / by Mohammed A. Kalkhan |
| Autore | Kalkhan Mohammed A. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2011 |
| Descrizione fisica | 1 online resource (178 p.) |
| Disciplina | 910.72/7 |
| Soggetto topico |
Geography - Statistical methods
Spatial analysis (Statistics) Thematic maps Cartography - Remote sensing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-11169-X
1-4200-6976-4 1-4398-9111-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Contents; Preface; About the Author; Chapter 1: Geospatial Information Technology; Chapter 2: Data Sampling Methods and Applications; Chapter 3: Spatial Pattern and Correlation Statistics; Chapter 4: Geospatial Analysis and Modeling-Mapping; Chapter 5: R Statistical Package; Chapter 6: Working with Geospatial Information Data; Back Cover |
| Record Nr. | UNINA-9910464113103321 |
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Kalkhan Mohammed A.
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| Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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