z-logo
open-access-imgOpen Access
The Application of Statistical Regression for Geographical Data Analysis
Author(s) -
Putra Aditya Priyono
Publication year - 2004
Publication title -
forum geografi
Language(s) - English
Resource type - Journals
eISSN - 2460-3945
pISSN - 0852-0682
DOI - 10.23917/forgeo.v11i2.490
Subject(s) - statistic , regression analysis , regression diagnostic , cross sectional regression , object (grammar) , data science , geography , econometrics , statistics , computer science , mathematics , artificial intelligence , polynomial regression
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom