Mekansal zekanın getirdiği paradigma değişimi

Abstract

Niceliksel ve niteliksel olarak artan, veri türü olarak çeşitlenen görüntü kaynaklarından anlamlı ve faydalı bilginin yapay öğrenme temelli olarak üretilmesi giderek yaygınlık kazanmaktadır. Mekansal bilgi sistemi uygulamalarında bilinçli karar verebilmek için nesnelere, olgulara ve içinde bulundukları ortama ilişkin bağlamın, ilişkilerin, örüntülerin ve eğilimlerin yapay öğrenme teknikleri ile belirlenmesi mekansal bilgi sistemi projelerinin başarımını ve verimliliğini arttırmaktadır. Bu tür yönelimler mekansal bilişim endüstrisinde mekansal zeka temelli sistemlerin kullanımını yaygınlaştırmaktadır. Gözlem ve ölçme sistemlerinden bulut ortamında çalışan bilgi sistemlerine kadar geniş bir yelpazede mekansal zeka özellikli çözümler geliştirilebilmektedir. Mekansal zeka özellikli sistemlerin etkin ve verimli biçimde kullanılabilmesi için mekansal zeka kavramının ne olduğu, hangi alanlarda kullanılabileceği ve daha yüksek bir katma değer sağlayabilmesi için nasıl bir yol haritasının oluşturulması gerektiği bu çalışma kapsamında irdelenmeye çalışılmıştır. 

Keywords

• Mekansal Zeka,Yapay Zeka,Makine Öğrenmesi,Derin Öğrenme,Mekansal Bilgi Sistemi,Mekansal Veri Altyapısı

Paradigm shift by spatial intelligence

Abstract

It is becoming prevalent to produce meaningful and useful information based on artificial learning from quantitative and qualitatively increasing data sources. In order to make informed decisions in spatial information system applications, determining the context, relations, patterns and trends related to objects, facts and environment by artificial learning techniques increases the performance and efficiency of spatial information system projects. Such trends will accelerate the spread of GeoAI-based systems in the spatial informatics industry. A wide range of spatial intelligence solutions can be developed from observation and measurement systems to cloud computing information systems. In the scope of the study, it has been examined that first what the concept of spatial intelligence means, then in which areas geospatial intelligence can be utilized, and finally, how to create a road map to provide a higher added value from spatial intelligence.

Keywords

• Spatial Intelligence,Artificial Intelligence,Machine Learning,Deep Learning,Geospatial Information System,Spatial Data Infrastructure

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