| 000 | 03450cam a2200589Ma 4500 | ||
|---|---|---|---|
| 001 | 9781315228396 | ||
| 003 | FlBoTFG | ||
| 005 | 20220711212549.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 171027s2017 xx o 000 0 eng d | ||
| 040 |
_aOCoLC-P _beng _epn _cOCoLC-P |
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| 020 |
_a1351855999 _q(ebk) |
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| 020 | _a9781351855990 | ||
| 020 | _a9781315228396 | ||
| 020 | _a1315228394 | ||
| 020 | _a9781351855976 | ||
| 020 | _a1351855972 | ||
| 020 |
_a9781351855983 _q(electronic bk. : EPUB) |
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| 020 |
_a1351855980 _q(electronic bk. : EPUB) |
||
| 020 | _z1138626449 | ||
| 035 | _a(OCoLC)1007846495 | ||
| 035 | _a(OCoLC-P)1007846495 | ||
| 050 | 4 |
_aG70.217.G46 _bK34 2018 |
|
| 072 | 7 |
_aCOM _x060000 _2bisacsh |
|
| 072 | 7 |
_aTEC _x010000 _2bisacsh |
|
| 072 | 7 |
_aTEC _x036000 _2bisacsh |
|
| 072 | 7 |
_aUDB _2bicssc |
|
| 082 | 0 | 4 |
_a910.3 _223 |
| 100 | 1 |
_aKarimi, Hassan A. _915452 |
|
| 245 | 1 | 0 | _aGeospatial Data Science Techniques and Applications. |
| 260 |
_bCRC Press, _c2017. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 505 | 0 | _aCover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Geospatial Data Science: AÂ Transdisciplinary Approach -- 2. Geocoding Fundamentals and Associated Challenges | |
| 505 | 8 | _a3. Deep Learning with Satellite Images and Volunteered Geographic Information 4. Visual Analysis of Floating Car Data -- 5. Recognizing Patterns in Geospatial Data Using Persistent Homology: A Study of Geologic Fractures -- 6. LiDAR for Marine Applications | |
| 505 | 8 | _a7. Spatiotemporal Point Pattern Analysis Using Ripleyâ#x80;#x99;s K Function 8. Geospatial Data Science Approaches for Transport Demand Modeling -- 9. Geography of Social Media in Public Response to Policy-Based Topics -- 10. Geospatial Data Streams | |
| 520 | 2 | _a"Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems."--Provided by publisher. | |
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aGeospatial data. _98576 |
|
| 650 | 7 |
_aCOMPUTERS / Internet / General _2bisacsh _912733 |
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| 650 | 7 |
_aTECHNOLOGY / Environmental Engineering & Technology _2bisacsh _910838 |
|
| 650 | 7 |
_aTECHNOLOGY / Remote Sensing _2bisacsh _912950 |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/e/9781351855990 |
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/e/9781315228396 |
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315228396 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 938 |
_aTaylor & Francis _bTAFR _n9781315228396 |
||
| 942 | _cEBK | ||
| 999 |
_c71603 _d71603 |
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