MARC信息
| 字段 | 字段内容 |
| 001 | 02h0176282 |
| 005 | 20190322094144.0 |
| 008 | 181217s2018 fluab frb |001|||eng | |
| 020 | $a: 9781138626447 $q: hardback : $c: CNY744.48 |
| 040 | $a: DLC $b: eng $e: rda $c: DLC $d: OCLCF $d: GZM $d: YDX $d: FLL $d: FIE $d: U3G $d: DRB $d: DLC $d: CNNGL |
| 042 | $a: pcc |
| 050 | $a: G70.217.G46 $b: K34 2018 |
| 082 | $a: 910.285 $2: 23 |
| 092 | $a: 626 |
| 093 | $a: P208 $2: 5 |
| 245 | $a: Geospatial data : $b: science, techniques and applications / $c: edited by Hassan Karimi and Bobak Karimi. |
| 260 | $a: Boca Raton, FL : $b: CRC Pr., $c: c2018. |
| 264 | $a: Boca Raton : $b: Taylor & Francis, $c: [2018] |
| 300 | $a: xv, 258 pages : $b: illustrations (some color), maps (some color) ; $c: 24 cm |
| 336 | $a: text $b: txt $2: rdacontent |
| 337 | $a: unmediated $b: n $2: rdamedia |
| 338 | $a: volume $b: nc $2: rdacarrier |
| 504 | $a: Includes bibliographical refarences and index. |
| 505 | $a: Machine generated contents note: $g: 1. $t: Geospatial Data Science: A Transdisciplinary Approach / $r: Shashi Shekhar -- $g: 2. $t: Geocoding Fundamentals and Associated Challenges / $r: Eric Delmelle -- $g: 3. $t: Deep Learning with Satellite Images and Volunteered Geographic Information / $r: Alexander Zipf -- $g: 4. $t: Visual Analysis of Floating Car Data / $r: Liqiu Meng -- $g: 5. $t: Recognizing Patterns in Geospatial Data Using Persistent Homology: A Study of Geologic Fractures / $r: Bobak Karimi -- $g: 6. $t: LiDAR for Marine Applications / $r: Nathan Murry -- $g: 7. $t: Spatiotemporal Point Pattern Analysis Using Ripley's K Function / $r: Irene Casas -- $g: 8. $t: Geospatial Data Science Approaches for Transport Demand Modeling / $r: Stephan Winter -- $g: 9. $t: Geography of Social Media in Public Response to Policy-Based Topics / $r: Brian Spitzberg -- $g: 10. $t: Geospatial Data Streams / $r: Zdravko Galic. |
| 520 | $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. "-- $c: Provided by Publisher. |
| 650 | $a: Geospatial data. |
| 700 | $a: Karimi, Hassan A., $e: editor. |
| 700 | $a: Karimi, Bobak, $e: editor. |
| 851 | $a: CN $b: 010001 |
| 905 | $a: 010001 $d: 626 $e: K14g $f: gljx1901 $h: 1 $r: CNY744.48 |
中国地质图书馆 版权所有 ALL RIGHTS RESERVED 京ICP备05064691号