Python ni yoru chiri kūkan dēta bunseki : reidai de manabu rokēshon interijensu /
Pythonによる地理空間データ分析 : 例題で学ぶロケーションインテリジェンス /
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| Author / Creator: | McClain, Bonny P., author. |
|---|---|
| Uniform title: | Python for geospatial data analysis. Japanese |
| Edition: | Shohan. 初版. |
| Imprint: | Tōkyō-to Shinjuku-ku : Orairī Japan, 2023. 東京都新宿区 : オライリー・ジャパン, 2023. |
| Description: | 1 online resource (272 pages) |
| Language: | Japanese |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13712965 |
| Related Items: | Translation of:
Python for geospatial data analysis. |
MARC
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| 049 | |a MAIN | ||
| 100 | 1 | |a McClain, Bonny P., |e author. |0 http://id.loc.gov/authorities/names/nb2022017701 | |
| 240 | 1 | 0 | |a Python for geospatial data analysis. |l Japanese |
| 245 | 1 | 0 | |6 880-01 |a Python ni yoru chiri kūkan dēta bunseki : |b reidai de manabu rokēshon interijensu / |c Bonny P. McClain cho ; Hirokawa Rui yaku = Python for geospatial data analysis : theory, tools, and practice for location intelligence / Bonny P. McClain. |
| 246 | 3 | 0 | |6 880-02 |a Chiri kūkan dēta bunseki |
| 246 | 3 | 1 | |a Python for geospatial data analysis : |b theory, tools, and practice for location intelligence |
| 250 | |6 880-03 |a Shohan. | ||
| 264 | 1 | |6 880-04 |a Tōkyō-to Shinjuku-ku : |b Orairī Japan, |c 2023. | |
| 300 | |a 1 online resource (272 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 546 | |a In Japanese. | ||
| 504 | |a Includes bibiographical references. | ||
| 520 | |a "Tobler's first law of geography states, "Everything is related to everything else, but near things are more related than distant things." But if you look at Tobler's second law, "Phenomena external to a geographic area of interest affect what goes on inside it," you can see why a geographer and data analyst brings the science of location into data stories and large-scale research projects. With this practical book, geospatial professionals, data scientists, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis." | ||
| 650 | 0 | |a Geospatial data |x Computer processing. |0 http://id.loc.gov/authorities/subjects/sh2019100063 | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 6 | |a Données géospatiales |x Informatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 700 | 1 | |6 880-05 |a Hirokawa, Rui, |e translator. | |
| 765 | 0 | 8 | |i Translation of: |a McClain, Bonny P. |t Python for geospatial data analysis. |b First edition. |d Sebastopol, CA : O'Reilly Media, Inc., 2022 |z 9781098104795 |w (DLC) 2023277621 |w (OCoLC)1309065599 |
| 856 | 4 | 0 | |u https://go.oreilly.com/uchicago/library/view/-/9784814400324/?ar |y O'Reilly |
| 880 | 1 | 0 | |6 245-01/$1 |a Pythonによる地理空間データ分析 : |b 例題で学ぶロケーションインテリジェンス / |c Bonny P. McClain著 ; 廣川類訳 = Python for geospatial data analysis : theory, tools, and practice for location intelligence / Bonny P. McClain. |
| 880 | 3 | 0 | |6 246-02/$1 |a 地理空間データ分析 |
| 880 | |6 250-03/$1 |a 初版. | ||
| 880 | 1 | |6 264-04/$1 |a 東京都新宿区 : |b オライリー・ジャパン, |c 2023. | |
| 880 | |6 520-00/$1 |a "地理空間データ分析は、地図や道路などのオープンな情報を分析することで、渋滞予測やナビゲーションなどの有用な情報を得る強力な手段です。さらに、衛星に搭載された各種のセンサーによる画像や国勢調査の情報などを組み合わせることにより、森林破壊や人種差別問題などの社会的課題に対する知見を得る「ロケーションインテリジェンス」として活用することができます。本書は、地理空間データ分析に必要な基本的な知識--GIS、データの種類、空間統計学、可視化技術などを紹介し、公開データとJupyter Notebookで提供されているさまざまな社会課題に関するサンプルコードと解説、QGISなどのオープンなツールを利用して実践的に理解を深めることができる一冊です。" -- |c Provided by publisher. | ||
| 880 | 1 | |6 700-05/$1 |a 廣川類, |e translator. | |
| 929 | |a oclccm | ||
| 999 | f | f | |s 5f7848cc-ae8f-4fde-914a-d7676664eef4 |i 0908fa8c-c865-46ab-8855-2974ac2012d0 |
| 928 | |t Library of Congress classification |a G70.217.G46 |l Online |c UC-FullText |u https://go.oreilly.com/uchicago/library/view/-/9784814400324/?ar |z O'Reilly |g ebooks |i 13855901 | ||