Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken
John Wiley & Sons
2008
|
| Online-Zugang: | FRO01 UBG01 URL des Erstveröffentlichers |
| Beschreibung: | This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more |
| Beschreibung: | 1 Online-Ressource (329 pages) |
| ISBN: | 9780470394106 0470394102 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043390777 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 160222s2008 |||| o||u| ||||||eng d | ||
| 020 | |a 9780470394106 |c electronic bk. |9 978-0-470-39410-6 | ||
| 020 | |a 0470394102 |c electronic bk. |9 0-470-39410-2 | ||
| 024 | 7 | |a 10.1002/9780470611463 |2 doi | |
| 035 | |a (ZDB-35-WIC)ocn536330307 | ||
| 035 | |a (OCoLC)536330307 | ||
| 035 | |a (DE-599)BVBBV043390777 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-861 | ||
| 082 | 0 | |a 550.1519542 | |
| 100 | 1 | |a Kanevski, Mikhail |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| 264 | 1 | |a Hoboken |b John Wiley & Sons |c 2008 | |
| 300 | |a 1 Online-Ressource (329 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more | ||
| 856 | 4 | 0 | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-35-WIC | ||
| 940 | 1 | |q UBG_PDA_WIC | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028809361 | ||
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 |l FRO01 |p ZDB-35-WIC |q FRO_PDA_WIC |x Verlag |3 Volltext | |
| 966 | e | |u https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 |l UBG01 |p ZDB-35-WIC |q UBG_PDA_WIC |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804175965315661824 |
|---|---|
| any_adam_object | |
| author | Kanevski, Mikhail |
| author_facet | Kanevski, Mikhail |
| author_role | aut |
| author_sort | Kanevski, Mikhail |
| author_variant | m k mk |
| building | Verbundindex |
| bvnumber | BV043390777 |
| collection | ZDB-35-WIC |
| ctrlnum | (ZDB-35-WIC)ocn536330307 (OCoLC)536330307 (DE-599)BVBBV043390777 |
| dewey-full | 550.1519542 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 550 - Earth sciences |
| dewey-raw | 550.1519542 |
| dewey-search | 550.1519542 |
| dewey-sort | 3550.1519542 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01900nmm a2200373zc 4500</leader><controlfield tag="001">BV043390777</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160222s2008 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780470394106</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-470-39410-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0470394102</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-470-39410-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/9780470611463</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-35-WIC)ocn536330307</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)536330307</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043390777</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-861</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">550.1519542</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kanevski, Mikhail</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken</subfield><subfield code="b">John Wiley & Sons</subfield><subfield code="c">2008</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (329 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-35-WIC</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">UBG_PDA_WIC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028809361</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">FRO_PDA_WIC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463</subfield><subfield code="l">UBG01</subfield><subfield code="p">ZDB-35-WIC</subfield><subfield code="q">UBG_PDA_WIC</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043390777 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:40Z |
| institution | BVB |
| isbn | 9780470394106 0470394102 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028809361 |
| oclc_num | 536330307 |
| open_access_boolean | |
| owner | DE-861 |
| owner_facet | DE-861 |
| physical | 1 Online-Ressource (329 pages) |
| psigel | ZDB-35-WIC UBG_PDA_WIC ZDB-35-WIC FRO_PDA_WIC ZDB-35-WIC UBG_PDA_WIC |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | John Wiley & Sons |
| record_format | marc |
| spelling | Kanevski, Mikhail Verfasser aut Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy Hoboken John Wiley & Sons 2008 1 Online-Ressource (329 pages) txt rdacontent c rdamedia cr rdacarrier This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kanevski, Mikhail Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_auth | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_exact_search | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_full | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_fullStr | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_full_unstemmed | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_short | Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy |
| title_sort | advanced mapping of environmental data geostatistics machine learning and bayesian maximum entropy |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 |
| work_keys_str_mv | AT kanevskimikhail advancedmappingofenvironmentaldatageostatisticsmachinelearningandbayesianmaximumentropy |