The purpose of quantitative geography is to train geographers in numeracy and in the vital skills of data collection, processing and interpretation. Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.…mehr
The purpose of quantitative geography is to train geographers in numeracy and in the vital skills of data collection, processing and interpretation. Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.
Larry O'Brien was born in Glendale, California, and raised in Eagle Rock, a suburb of Los Angeles. He attended California State University, Long Beach, and later worked as a foreign exchange trader at Security Pacific Bank. O'Brien also served in the U.S. Naval Reserve. After his military service, he became a private investigator. He is widowed and has a son and a stepson from his wife's first marriage.
Inhaltsangabe
Preface 1. Introduction Part I 2. Describing Geographical Data 3. Measuring Geographical Data 4. Summarising Geographical Data 5. Descriptive Models and Geographical Data 6. Statistical Reference Part II 7. Towards Integration: Generalised Linear Models 8. Generalised Linear Models for Continuous Data 9. Generalised Linear Models for Categorical Data 10. Some Extensions and Specialised Topics 11. Summary and Conclusions
Preface 1. Introduction Part I 2. Describing Geographical Data 3. Measuring Geographical Data 4. Summarising Geographical Data 5. Descriptive Models and Geographical Data 6. Statistical Reference Part II 7. Towards Integration: Generalised Linear Models 8. Generalised Linear Models for Continuous Data 9. Generalised Linear Models for Categorical Data 10. Some Extensions and Specialised Topics 11. Summary and Conclusions
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