Searching for Oil: Geographical Data Analysis with Apache Mahout

2016 ◽  
pp. 223-233
Author(s):  
Kerry Koitzsch
Keyword(s):  
Data Analysis ◽  
Geographical Data

Teaching geographical data analysis: problems and possible solutions

1978 ◽  
Vol 2 (2) ◽  
pp. 29-37 ◽  
Author(s):  
Nicholas Cox ◽  
Ewan Anderson
Keyword(s):  
Data Analysis ◽  
Geographical Data

Integration of molecular and geographical data analysis of Iranian Prunus scoparia populations in order to assess genetic diversity and conservation planning

2019 ◽  
Vol 247 ◽  
pp. 49-57 ◽  
Author(s):  
Mehrshad Zeinalabedini ◽  
Parastoo Majidian ◽  
Reyhaneh Ashori ◽  
Ameneh Gholaminejad ◽  
Mohammad Ali Ebrahimi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Data Analysis ◽  
Conservation Planning ◽  
Geographical Data ◽  
Prunus Scoparia

Geographical data analysis via mountain function

1999 ◽  
Vol 14 (4) ◽  
pp. 359-373 ◽  
Author(s):  
Giovanni Gallo ◽  
Irina Perfilieva ◽  
Michela Spagnuolo ◽  
Salvatore Spinello
Keyword(s):  
Data Analysis ◽  
Geographical Data

scholarly journals The Application of Statistical Regression for Geographical Data Analysis

2004 ◽  
Vol 11 (2) ◽  
Author(s):  
P Priyono
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Subject Matter ◽  
Causal Relation ◽  
Computer Software ◽  
Statistical Technique ◽  
Statistical Regression ◽  
Close Attention ◽  
Geographical Data ◽  
The Relationship

Application of regression statistic to analyse geography data is getting familiar, as the reason that geography object is really wide, kwantitative approach of geography and availibilty computer software of regression analysis which is getting complete and refresentative. The way of making decision and prediction constitutes the superiority of regression analysis and constitutes the issue which is often met by geographer in the study of geography object. It not only phenomena of human geography, but phisycal geography phenomena is also able to be approtached by regression analysis. For user the attentions that ought to be noticed are 1) regression statistic ought to be appraised as a fool and not as a brain, so that researcher is the main important operator; 2) mastery of geography subject matter constitutes an essential basis; 3) statistic is able to work if there is a detum which is able to fulfill the term of requirements and preceded by a logic causal relation; 4) close attention of reasearcher is highly required; 5) when must, researcher use the  statistic and the relationship between data type and statistical technique.

scholarly journals Dual Scaling and Geographical Data Analysis.

1997 ◽  
Vol 49 (2) ◽  
pp. 105-108
Author(s):  
Kenji Higashi
Keyword(s):  
Data Analysis ◽  
Dual Scaling ◽  
Geographical Data

Geographical Data Analysis

Technometrics ◽  
1996 ◽  
Vol 38 (2) ◽  
pp. 188-188
Author(s):  
John H. Schuenemeyer
Keyword(s):  
Data Analysis ◽  
Geographical Data
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