ADVANCED GEOGRAPHIC ANALYSIS: MAXIMIZING THE USE OF SPSS IN GEOGRAPHIC RESEARCH

Author Name: 1. Jaoid El bordo, 2. Mostapha Nadraoui

Volume/Issue: 05/01

Country: Morocco

DOI NO.: 08.2020-25662434 DOI Link: https://doi-ds.org/doilink/06.2024-96611649/UIJIR

Affiliation:

1. Geography Researcher. Laboratory: Dynamics of Spaces and Societies, Faculty of Letters and Human Sciences of Mohammedia, Hassan II University of Casablanca, Av Hassan II, B.P. 546, Mohammedia, Morocco.
2. Professor of geography. Laboratory: Dynamics of Spaces and Societies, Faculty of Letters and Human Sciences of Mohammedia, Hassan II University of Casablanca, Av Hassan II, B.P. 546, Mohammedia, Morocco.

ABSTRACT

In recent years, the combination of advanced statistical tools with geographic research has transformed the field, enabling more precise and comprehensive analyses. This article, "Advanced Geographic Analysis: Getting the Most out of SPSS in Geographic Research," explores the power of SPSS (Statistical Package for the Social Sciences) for conducting complex geographic analyses. This article highlights the many uses of SPSS and demonstrates its effectiveness in managing and analyzing large geographical datasets. It explores how to use SPSS for spatial data manipulation, multivariate analysis, and geostatistical methods that enable researchers to identify complex patterns and relationships in geographic data. By providing detailed case studies and practical examples, this article demonstrates the practical application of SPSS in a variety of geographical research contexts. It also addresses common challenges faced by researchers, especially in the geographical field, and provides solutions to improve the use of SPSS to conduct accurate and insightful geographical analysis. Given the importance of the topic, this article aims to provide a comprehensive guide for researchers and highlight the advanced features of SPSS that can improve the quality and depth of geographic research. By maximizing the potential of SPSS, researchers can achieve more reliable and meaningful results, ultimately advancing the field of geographic analysis.

Key words: Geographic analysis, Geographic data, Statistical analysis.