Data analysis and statistics for geography, environmental science, and engineering
This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book br...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
| Vydáno: |
Boca Raton
CRC Press
2013
Taylor & Francis Group |
| Vydání: | 1 |
| Témata: | |
| ISBN: | 143988501X, 9781439885017 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applied to a variety of geographical and environmental models. Theory is accompanied by practical hands-on computer exercises, progressing from easy to difficult. The text also presents a review of mathematical methods, making the book self-contained. |
|---|---|
| AbstractList | Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustain. Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines.Learn How to Use a Variety of Data Analysis and Statistics MethodsBased on the author’s many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods.Build from Fundamental Concepts to Effective Problem SolvingEach chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg, open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results.This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work. This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applied to a variety of geographical and environmental models. Theory is accompanied by practical hands-on computer exercises, progressing from easy to difficult. The text also presents a review of mathematical methods, making the book self-contained. Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineeringguides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seegand RcmdrPlugin.seeg, open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work. |
| Author | Acevedo, Miguel F. |
| Author_xml | – sequence: 1 fullname: Acevedo, Miguel F. |
| BackLink | https://cir.nii.ac.jp/crid/1130282270257230208$$DView record in CiNii |
| BookMark | eNqNkE1LHEEQhjsYg67Z_IY5CCK4saq_5xhX8wFCIBjIbajurVk7TnrM9GSD_z4TRwi5eal6D089UO9CvMx9ZiHeILxFCXgeUFlnXohl7Txqa00tJdo9sUCtau8N4Ld9sZhICUoq416Jwxo8OKedORDLUr4DAGpAQHsovlzSSBVl6h5KKlPYVGWkMZUxxVK1_VBtud8OdH_7cFZx3qWhzz84j9RVJSbOkc8ejzhvU2YeUt6-FvstdYWXT_tIfH1_dbP-uLr-_OHT-t31iowE7Vahnh4hzYEshmhRGsXOEvhNHRhD7ZTnWPuwweC9jhRb1_pA3rcbH2OrjsTp7KVyx7_Lbd-Npdl1HPr-rjT_tfMMFjSAQ-NwYo9ntlBLQ2pmZidn5VPHbsJOZux-6H_-4jI2j7Y4lTNQ11xdrFFrq5T_J8wpNTH9nYgKpJfSgTROThm8-gNq7Io8 |
| ContentType | eBook Book |
| DBID | RYH OHILO OODEK |
| DEWEY | 519.5 |
| DOI | 10.1201/b13675 |
| DatabaseName | CiNii Complete O'Reilly Online Learning: Corporate Edition O'Reilly Online Learning: Academic/Public Library Edition |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography Engineering Mathematics Applied Sciences Environmental Sciences |
| EISBN | 9781466592216 1466592214 1040071570 9781040071571 |
| Edition | 1 1st edition |
| ExternalDocumentID | 9781466592216 9781040071571 9781439885017 EBC1446338 BB11739882 |
| GroupedDBID | 20A 38. 5~G AABBV ABARN ABQPQ ACGWR ACLGV ACNAM ADVEM ADYHE AEOGL AERYV AEUHU AFOJC AFUZJ AHWGJ AIXXW AJFER AKSCQ ALMA_UNASSIGNED_HOLDINGS ALV ATPON AZZ B0D B0E BBABE BPBUR CXCJS CZZ EBATF ENU GEOUK INALI JJU JTX NEQ OHILO OODEK PQQKQ RYH AXTGW ABYSD |
| ID | FETCH-LOGICAL-a52047-b9367a4eba61bc61253e76a08d9be1b9738ec98bd1b884cacf7f8ba88fd8ccf3 |
| ISBN | 143988501X 9781439885017 |
| IngestDate | Fri Nov 08 05:02:31 EST 2024 Thu Dec 12 04:00:36 EST 2024 Fri Dec 05 18:08:44 EST 2025 Wed Nov 26 04:26:00 EST 2025 Fri Jun 27 00:12:07 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| LCCN | 2012032357 |
| LCCallNum_Ident | G70.3 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-a52047-b9367a4eba61bc61253e76a08d9be1b9738ec98bd1b884cacf7f8ba88fd8ccf3 |
| Notes | Includes bibliographical references (p. 521-523) and index |
| OCLC | 908077475 |
| PQID | EBC1446338 |
| PageCount | 549 |
| ParticipantIDs | askewsholts_vlebooks_9781466592216 askewsholts_vlebooks_9781040071571 safari_books_v2_9781439885017 proquest_ebookcentral_EBC1446338 nii_cinii_1130282270257230208 |
| PublicationCentury | 2000 |
| PublicationDate | c2013 2012 2012-12-07T00:00:00 2012-12-07 |
| PublicationDateYYYYMMDD | 2013-01-01 2012-01-01 2012-12-07 |
| PublicationDate_xml | – year: 2013 text: c2013 |
| PublicationDecade | 2010 |
| PublicationPlace | Boca Raton |
| PublicationPlace_xml | – name: Boca Raton – name: Milton |
| PublicationYear | 2013 2012 |
| Publisher | CRC Press Taylor & Francis Group |
| Publisher_xml | – sequence: 0 name: CRC Press – name: CRC Press – name: Taylor & Francis Group |
| SSID | ssj0001401016 ssib027418246 |
| Score | 2.1824262 |
| Snippet | This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an... Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and... |
| SourceID | askewsholts safari proquest nii |
| SourceType | Aggregation Database Publisher |
| SubjectTerms | Data processing Engineering Engineering -- Data processing Engineering -- Statistical methods Environmental sciences Environmental sciences -- Data processing Environmental sciences -- Statistical methods Geography Geography -- Data processing Geography -- Statistical methods Statistical methods |
| TableOfContents | 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 Series -- Chapter 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 |
| Title | Data analysis and statistics for geography, environmental science, and engineering |
| URI | https://cir.nii.ac.jp/crid/1130282270257230208 https://ebookcentral.proquest.com/lib/[SITE_ID]/detail.action?docID=1446338 https://learning.oreilly.com/library/view/~/9781439885017/?ar https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781040071571 https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781466592216 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZgiwQ9UR5iga0ixI0G4rxsX3fZFglUUNVKe4tsx65WrVK02a7685lxnBdIVBy4WElke6L5_BiP50HIe24Npj9JQl1KE6Y5j0KRwMTTSWlwOkXKOkfhb-z0lK9W4odPnFq7dAKsqvjdnfj5X6GGbwA2us7-A9xdp_ABngF0KAF2KH-TiLvXBvHPcosOVj7IiFOI4z17E4gZrQkvjY9PjXwdeLi1fpE-_zs0NH2Uwm5EaLMz5U1jan95a64_HH8cqgwwfcNIZbA4W4wMPJqzJAhOgvMsalwp_1hZYxfRX2GEt6zfOzqLvvmcUoYdwHb4EI4wE7J3svx-8bXXd6Uump3zrfOEVm3IrZawz_0EpD41hPbJvqyvYLWHnWBbw_Zfrdfjo0AtrdysByLB-VMyQTeRA_LAVM_I45OWtc_JGeIQtDjAQxn0OASAQ9DhcBSMUAg8Ckeu0QCDF-TieHm--BL6zBWhzGKMfaEE_L5MjZI5VRqlyMSwXEa8FMpQJVjCjRZclVRxnmqpLbNcSc5tybW2yUsyqW4q84oEIN_lKFeJWFkQrlOZxLaMqYkEyzLLzJS8G7Co2F27S_a6QMbiAs1oxujfKqU53qzHNJ-SGbC30GssKV5og_DIQCZmcEyNIz4lQcv4wrX35sPFcr5ArUKSQJVZA0jR9L-LixHAr-8h8YY86cfrWzLZbm7NjDzSOwBpc-iH1C-WdVGm |
| linkProvider | ProQuest Ebooks |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.title=Data+analysis+and+statistics+for+geography%2C+environmental+science%2C+and+engineering&rft.au=Acevedo%2C+Miguel+F.&rft.date=2013-01-01&rft.pub=CRC+Press&rft.isbn=9781439885017&rft_id=info:doi/10.1201%2Fb13675&rft.externalDocID=BB11739882 |
| thumbnail_m | http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fwww.safaribooksonline.com%2Flibrary%2Fcover%2F9781439885017 http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fvle.dmmserver.com%2Fmedia%2F640%2F97810400%2F9781040071571.jpg http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fvle.dmmserver.com%2Fmedia%2F640%2F97814665%2F9781466592216.jpg |