000			01399nam a2200229 4500
005			20250329162912.0
008			250329b |||||||| |||| 00| 0 eng d
020			_a9781032939674
037			_cTextual
040			_aRTL _cRTL
084			_aU671 R5 _qRTL
245			_aGeospatial Data Science Techniques and Applications
260			_aLondon _bCRC Press _c2025
300			_axv, 258p. _bIncludes index
520			_aData science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.
650			_aGeospatial data _9751645
650			_aEnvironmental Engineering & Technology _9751646
650			_aTechnology
700			_aKarimi, Hassan A. _eEditor _9270386
700			_aKarimi, Bobak _eEditor _9751647
942			_2CC _n0 _cTB _hU671 R5
999			_c1308307 _d1308307