Spatial Pattern Detection in Structural Bionformatics

2003 ◽  
pp. 35-56
Author(s):  
Haim J. Wolfson
Keyword(s):  
Spatial Pattern ◽  
Pattern Detection

scholarly journals MEMGENE: Spatial pattern detection in genetic distance data

2014 ◽  
Vol 5 (10) ◽  
pp. 1116-1120 ◽  
Author(s):  
Paul Galpern ◽  
Pedro R. Peres-Neto ◽  
Jean Polfus ◽  
Micheline Manseau
Keyword(s):  
Genetic Distance ◽  
Spatial Pattern ◽  
Pattern Detection ◽  
Distance Data

Detection of spatial pattern at several scales simultaneously

1975 ◽  
Vol 7 (03) ◽  
pp. 449-450
Author(s):  
Roger Mead
Keyword(s):  
Spatial Pattern ◽  
Plant Communities ◽  
Random Distribution ◽  
Small Sample ◽  
Pattern Detection ◽  
Ecological Research ◽  
Valid Method ◽  
Distributional Properties ◽  
The Individual ◽  
Plant Ecological

Detection of the different scales of pattern in plant communities is an important area of plant ecological research, and various tests of pattern have been devised. The method of pattern detection which is ecologically most meaningful is that due to Greig-Smith (1952) but, until now, this has suffered from the lack of valid tests of significance for the individual scales of pattern, once the overall departure from a random distribution has been established. Various tests which partially or completely overcome this deficiency are discussed and exemplified and their small sample distributional properties examined. It is concluded that a set of tests, based on randomisation arguments, provides a fully valid method of testing simultaneously for pattern at various scales.

Detection of spatial pattern at several scales simultaneously

1975 ◽  
Vol 7 (3) ◽  
pp. 449-450
Author(s):  
Roger Mead
Keyword(s):  
Spatial Pattern ◽  
Plant Communities ◽  
Random Distribution ◽  
Small Sample ◽  
Pattern Detection ◽  
Ecological Research ◽  
Valid Method ◽  
Distributional Properties ◽  
The Individual ◽  
Plant Ecological

Detection of the different scales of pattern in plant communities is an important area of plant ecological research, and various tests of pattern have been devised. The method of pattern detection which is ecologically most meaningful is that due to Greig-Smith (1952) but, until now, this has suffered from the lack of valid tests of significance for the individual scales of pattern, once the overall departure from a random distribution has been established. Various tests which partially or completely overcome this deficiency are discussed and exemplified and their small sample distributional properties examined. It is concluded that a set of tests, based on randomisation arguments, provides a fully valid method of testing simultaneously for pattern at various scales.

scholarly journals Support vector subset scan for spatial pattern detection

2021 ◽  
Vol 157 ◽  
pp. 107149
Author(s):  
Dylan Fitzpatrick ◽  
Yun Ni ◽  
Daniel B. Neill
Keyword(s):  
Spatial Pattern ◽  
Pattern Detection ◽  
Support Vector

scholarly journals Spatial Pattern Detection of Tuberculosis: A Case Study of Si Sa Ket Province, Thailand

2015 ◽  
Vol 12 (12) ◽  
pp. 16005-16018 ◽  
Author(s):  
Siriwan Hassarangsee ◽  
Nitin Tripathi ◽  
Marc Souris
Keyword(s):  
Spatial Pattern ◽  
Pattern Detection

A Comparison of Spatial Pattern Detection Methods for Major Cancer Mortality in Korea

2016 ◽  
Vol 28 (6) ◽  
pp. 539-553 ◽  
Author(s):  
Jiyu Kim ◽  
Myeonggyun Lee ◽  
Inkyung Jung
Keyword(s):  
Spatial Pattern ◽  
Cancer Mortality ◽  
Pattern Detection ◽  
Detection Methods
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