عنوان المقالة:التعميم الخرائطي الآلي للبيانات الشبكية لمقاييس متعددة ..دراسة تطبيقية لمناطق مختارةمن العراق
الاستاذ المساعد الدكتور احمدمحمدجهادالكبيسي | AHMED MOHAMMED JIHAD | 12227
نوع النشر
مؤتمر علمي
المؤلفون بالعربي
د.احمد محمد جهاد الكبيسي ، أ.د نجيب الزيدي
الملخص العربي
Abstract The research aims to apply the automated cartographic generalization on spatial data type (Raster) for dissemination to multiple scales 1:25000 and 1:50000 and 1:100000) after making a generalization of statistical and mathematical. Search has been applied to selected areas of Iraq represents land use in the city, according to a scale (1:10000) and regarded as a generalization of source map (Babylon, Basra and Abril, and Ramadi). Were employed program (IDRISI) through Tools mainstream, such as (CONTRACT) and (PATTERN) and (TREND), as well as the modalities of mainstream, such as (Pixel thinning) (Pixel aggregation) and the way the maps arrest or (algebramaps), such as ( TRANSFORM) and (Cubic) and (Linear) and others, which have been used and applied to the research data and analysis results. And came out search maps new generalized to multiple scales as well as the dissemination of three-dimensional (3D),by use (Arc Scene 10) program research revealed about the importance of the program user and the need to employ his tools in the field of dissemination of cartographic automated, although generalization of multiple scales in the field of data must be in accordance with the steps ordinal, in order to obtain maps aware visually and digitally. It turned out that the method according to the integration of circulating cells are the best, for all levels of cartographic generalization .
تاريخ النشر
24/05/2014
الناشر
مجلة منشورات علوم الجغرافيا
رابط الملف
تحميل (471 مرات التحميل)
رابط خارجي
http://www.geosp.net/?research=%D8%A7%D9%84%D8%AA%D8%B9%D9%85%D9%8A%D9%85-%D8%A7%D9%84%D8%AE%D8%B1%D8%A7%D8%A6%D8%B7%D9%8A-%D8%A7%D9%84%D8%A2%D9%84%D9%8A-%D9%84%D9%84%D8%A8%D9%8A%D8%A7%D9%86%D8%A7%D8%
الكلمات المفتاحية
تعميم خرائطي ، نظم معلومات جغرافية ، البيانات الشبكية
رجوع