Analysis of the urban environment of the city of Shatrah, southern Iraq, adopting the method of factor analysis and prediction models

Dr. Sami Jalab Mansi Al-Sahlani

Researcher. Nibras Ali Abdul Hussein Al-Yasiri

(Pp:185-208)

Volume 4, Issue 1

Abstract: The task lies in the study of the urban environment through a set of variables of importance to the population in terms of impact and impact, as any change is possible to reflect negatively or positively on the city and its compatibility with international and local standards of environmental quality, so the study came with some indicators It shows the quality of environmental life in Al-Shatra city and its reflection on the extent of population satisfaction with each of the indicators mentioned by conducting some measurements and questionnaires in the city after dividing them into urban patterns and then tabulating the data to summarize the information and derive the required results. Factor analysis each of the mentioned indicators by conducting some measurements and questionnaires in the city after dividing them into urban patterns and then tabulating the data to summarize the information and derive the required results. The type of relationship between the indicators of the phenomenon under study, while the regression method is one of the effective and good models from which geographic research to build the model. Therefore, the construction of the model is one of the advanced stages in modern urban studies. Statistics should be used to construct the model of the urban environment variables in human settlements.

 Keywords: Urban environment analysis, factor analysis method, prediction models.

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ISSN Online: 3006-7286
Impact Factor: 1.705

International Jordanian Journal Aryam for Humanities and Social Sciences is an IJJA publishing journal committed to providing a platform for outstanding scientists and researchers to present their findings for the advancement of Humanities and Social Sciences. It is issued by the Jordanian Center for Research and Studies.

ISSN Online (3006-7286) is sequential with ISSN Online (2706-8455).

The journal’s website supported the Arabic language with ISSN number (2706-8455) from 2019 to 2023 and began supporting the English language in 2024 with ISSN number (3006-7286).

ISSN 3006-7286

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