جودة الحياة البيئية في مدينة الشطرة

Authors

  • أ.م.د. سميع جلاب منسي السهلاني
  • نبراس علي عبدالحسين الياسري

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. The research has reached a number of conclusions, the most important of which are the emergence of a number of spatial patterns that vary according to the residential neighborhoods of the city, as well as the possibility that the variable adopted in the construction of models. The schematic of regression equations is a dependent variable at one time and an independent variable according to the sequence of models, because this variable is influenced by the values ​​of other variables. The construction of a model can be satisfied with independent variables rather than others

Downloads

Published

2021-03-31