語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Spatial Relationships Between Two Ge...
~
Bevilacqua, Moreno.
Spatial Relationships Between Two Georeferenced Variables = With Applications in R /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Spatial Relationships Between Two Georeferenced Variables / by Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua.
其他題名:
With Applications in R /
作者:
Vallejos, Ronny.
其他作者:
Bevilacqua, Moreno.
面頁冊數:
XII, 194 p. 64 illus., 13 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics for Life Sciences, Medicine, Health Sciences. -
電子資源:
https://doi.org/10.1007/978-3-030-56681-4
ISBN:
9783030566814
Spatial Relationships Between Two Georeferenced Variables = With Applications in R /
Vallejos, Ronny.
Spatial Relationships Between Two Georeferenced Variables
With Applications in R /[electronic resource] :by Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua. - 1st ed. 2020. - XII, 194 p. 64 illus., 13 illus. in color.online resource.
1 Introduction -- 2 The Modified t test -- 3 A Parametric Test based on Maximum -- 4 TjØstheim's Coefficient -- 5 The Codispersion Coefficient -- 6 A Nonparametric Coefficient -- 7 Association for More Than Two Processes -- 8 Spatial Association Between Images -- A Proofs -- B Effective Sample Size -- C Solutions to Selected Problems -- Index.
This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, the book begins with preliminary concepts, mainly concerning spatial statistics. The following seven chapters focus on the methodologies needed to assess the correlation between two or more processes; from theory introduced 35 years ago, to techniques that have only recently been published. Furthermore, each chapter contains a section on R computations to explore how the methodology works with real data. References and a list of exercises are included at the end of each chapter. The assessment of the correlation between two spatial processes has been tackled from several different perspectives in a variety of applications fields. In particular, the problem of testing for the existence of spatial association between two georeferenced variables is relevant for posterior modeling and inference. One evident application in this context is the quantification of the spatial correlation between two images (processes defined on a rectangular grid in a two-dimensional space). From a statistical perspective, this problem can be handled via hypothesis testing, or by using extensions of the correlation coefficient. In an image-processing framework, these extensions can also be used to define similarity indices between images. .
ISBN: 9783030566814
Standard No.: 10.1007/978-3-030-56681-4doiSubjects--Topical Terms:
670172
Statistics for Life Sciences, Medicine, Health Sciences.
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Spatial Relationships Between Two Georeferenced Variables = With Applications in R /
LDR
:03184nam a22003975i 4500
001
1029557
003
DE-He213
005
20201104200757.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030566814
$9
978-3-030-56681-4
024
7
$a
10.1007/978-3-030-56681-4
$2
doi
035
$a
978-3-030-56681-4
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Vallejos, Ronny.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1326312
245
1 0
$a
Spatial Relationships Between Two Georeferenced Variables
$h
[electronic resource] :
$b
With Applications in R /
$c
by Ronny Vallejos, Felipe Osorio, Moreno Bevilacqua.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XII, 194 p. 64 illus., 13 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1 Introduction -- 2 The Modified t test -- 3 A Parametric Test based on Maximum -- 4 TjØstheim's Coefficient -- 5 The Codispersion Coefficient -- 6 A Nonparametric Coefficient -- 7 Association for More Than Two Processes -- 8 Spatial Association Between Images -- A Proofs -- B Effective Sample Size -- C Solutions to Selected Problems -- Index.
520
$a
This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, the book begins with preliminary concepts, mainly concerning spatial statistics. The following seven chapters focus on the methodologies needed to assess the correlation between two or more processes; from theory introduced 35 years ago, to techniques that have only recently been published. Furthermore, each chapter contains a section on R computations to explore how the methodology works with real data. References and a list of exercises are included at the end of each chapter. The assessment of the correlation between two spatial processes has been tackled from several different perspectives in a variety of applications fields. In particular, the problem of testing for the existence of spatial association between two georeferenced variables is relevant for posterior modeling and inference. One evident application in this context is the quantification of the spatial correlation between two images (processes defined on a rectangular grid in a two-dimensional space). From a statistical perspective, this problem can be handled via hypothesis testing, or by using extensions of the correlation coefficient. In an image-processing framework, these extensions can also be used to define similarity indices between images. .
650
2 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
2 4
$a
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
782247
650
2 4
$a
Quantitative Geology.
$3
682376
650
1 4
$a
Statistical Theory and Methods.
$3
671396
650
0
$a
Biostatistics.
$3
783654
650
0
$a
Geology—Statistical methods.
$3
1254867
650
0
$a
Statistics .
$3
1253516
700
1
$a
Bevilacqua, Moreno.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1326314
700
1
$a
Osorio, Felipe.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1326313
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030566807
776
0 8
$i
Printed edition:
$z
9783030566821
776
0 8
$i
Printed edition:
$z
9783030566838
856
4 0
$u
https://doi.org/10.1007/978-3-030-56681-4
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入