| 000 | 00982camuu2200289 a 4500 | |
| 001 | 000045712450 | |
| 005 | 20120719102530 | |
| 008 | 120718s2011 gw a b 001 0 eng | |
| 015 | ▼a GBB1A9077 ▼2 bnb | |
| 020 | ▼a 9783642217197 (pbk.) | |
| 020 | ▼a 3642217192 (pbk.) | |
| 040 | ▼a StDuBDS ▼b eng ▼c StDuBDS ▼d 211009 | |
| 082 | 0 4 | ▼a 005.74 ▼2 22 |
| 084 | ▼a 005.74 ▼2 DDCK | |
| 090 | ▼a 005.74 ▼b F529s | |
| 100 | 1 | ▼a Fischer, Manfred M. |
| 245 | 1 0 | ▼a Spatial data analysis : ▼b models, methods and techniques / ▼c by Manfred M. Fischer, Jinfeng Wang. |
| 260 | ▼a Berlin ; ▼a London : ▼b Springer, ▼c 2011. | |
| 300 | ▼a viii, 82 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a SpringerBriefs in regional science |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Database management. |
| 650 | 0 | ▼a Geographic information systems. |
| 700 | 1 | ▼a Wang, Jinfeng. |
| 830 | 0 | ▼a SpringerBriefs in regional science. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 005.74 F529s | 등록번호 111670860 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 중앙도서관/서고6층/ | 청구기호 005.74 F529s | 등록번호 111882665 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.
New feature
The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.정보제공 :
목차
Preface.- Part A: The Analysis of Geostatical Data.- Part B: The Analysis of Area Data.- Part C: The Analysis of Spatial Interaction Data.- Subject Index.- Author Index.