Mekansal zekanın getirdiği paradigma değişimi

Yıl 2019, Cilt: 6 Sayı: 2, 128 - 142, 01.11.2019

Caner Güney

https://doi.org/10.9733/JGG.2019R0006.T

Öz

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. 

Anahtar Kelimeler

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

Paradigm shift by spatial intelligence

Öz

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.

Anahtar Kelimeler

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

Kaynakça

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