April 8, 2024, 4:45 a.m. | Afonso Oliveira, Nuno Fachada, Jo\~ao P. Matos-Carvalho

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.03754v1 Announce Type: cross
Abstract: The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of machine learning and big data techniques has equipped these platforms with the capacity to handle larger amounts of increasingly complex data, transcending the limitations of more traditional approaches. This work traces the historical and technical evolution of data science and GIS as fields of study, highlighting the critical points of …

abstract adoption analysis arxiv big big data capacity cs.cv data data science eess.iv evolution gis information integration limitations machine machine learning physics.geo-ph platforms science spatial systems tools type

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