내용보기

Spatial analysis : statistics, visualization, and computational methods

서명/저자: Spatial analysis : statistics, visualization, and computational methods / Tonny J. Oyana and Florence M. Margai

초록/해제: 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.

내용주기: 완전내용The 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.

일반주제명: TECHNOLOGY & ENGINEERING Remote Sensing & Geographic Information Systems.

기타형태저록: Print versionOyana, Tonny J. Spatial analysis. Boca Raton, Fla. : Taylor & Francis, [2016] 9781498707633 (DLC) 2015017750 (OCoLC)907196150

소장자료
등록번호	청구기호	소장처	대출가능여부	대출정보
E016355	E	E-Book Library	E-Book	E-Book 마이폴더 부재도서신고

* 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

로그인 후 이용 가능합니다.

본문

서브메뉴