الترميز الكمي في الخرائط الموضوعية : دراسة تطبيقية لخرائط توزيع سكان محافظة واسط

Abstract EN

The main objective of the research is how to represent the quantitative map symbols using geographical information systems and choosing the best quantitative symbol for each phenomenon that is represented on the map so that it is not chosen in an unconscious way, as each symbol of these symbols is carefully chosen in a way that suits the type, nature and characteristics of the phenomenon It represents, it is known that the content of the map is symbols taken to represent geographical phenomena and on the basis of which it adopts the process of reading and analyzing the map.

We have mentioned three groups Among the basic symbols used in geographic information systems are raster (local) and linear and spatial.

The concept of quantitative coding and the importance of using symbols in maps, as well as the concept of quantitative map and the steps for preparing it in geographic information systems, an applied study on how to prepare them for Wasit governorate residents were clarified.

And how to encode quantitative data in the geographical information systems (GIS) and choose the most appropriate ones in the representation of research maps, and an applied model for maps of the population of Wasit Governorate has been chosen according to the administrative units (judiciary) without relying on Wasit population estimates for the year By the Ministry of Planning, and the creation of a digital database to distribute the population of Wasit Governorate and produce maps representing both the numerical and relative distribution of the population and the representation of the general population density as well as the distribution of the population according to the environment (urban and rural) as well as the distribution of the numerical and relative population by sex (male and female) according to what Availability of data from the Ministry of Planning, which can be represented in the form of maps and based on one of the GIS programs, which is the ARC GIS .

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