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Spatial analysis : statistics, visualization, and computational methods
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Spatial analysis : statistics, visualization, and computational methods/ Tonny J. Oyana and Florence M. Margai. |
| 개인저자 | Oyana, Tonny J.,author. Margai, Florence M.,author, |
| 형태사항 | 1 online resource (xviii, 305 pages): illustrations (some color). |
| 기타형태 저록 | Print version: Oyana, Tonny J. Spatial analysis. Boca Raton, Fla. : Taylor & Francis, [2016] 9781498707633 |
| ISBN | 9781498707640 1498707645 |
| 서지주기 | Includes bibliographical references. |
| 내용주기 | The context and relevance of spatial analysis -- Scientific observations and measurements in spatial analysis -- Using statistical measures to analyze data distributions -- Exploratory data analysis, visualization, and hypothesis testing -- Analyzing spatial statistical relationships -- Engaging in point pattern analysis -- Engaging in areal pattern analysis using global and local statistics -- Engaging in geostatistical analysis -- Data science : understanding computing systems and analytics for big data. |
| 요약 | An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis-containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS-as. |
| 일반주제명 | Geographic information systems. Spatial analysis (Statistics) TECHNOLOGY & ENGINEERING --Remote Sensing & Geographic Information Systems. Geographic information systems. Spatial analysis (Statistics) |
| 언어 | 영어 |
| 바로가기 |  |
