000			02079nam a2200433 i 4500
001			889021
003			StDuBDS
005			20241117203623.0
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007			cr |||||||||||
008			200911t20212021ne ab fob 001|0|eng|d
020			_a9780128179772 (ePub ebook) : _cNo price
020			_z9780128179765 (pbk.) : _cNo price
020			_zNOISBN
040			_aStDuBDS _beng _cStDuBDS _erda _epn
050		4	_aHC79.E5
082	0	4	_a338.9'27'0285 _223
245	0	0	_aData science applied to sustainability analysis / _cedited by Jennifer B. Dunn, Prasanna Balaprakash. _h[electronic resource]
264		1	_aAmsterdam : _bElsevier, _c[2021]
264		4	_c©2021
300			_a1 online resource (xi, 297 pages) : _billustrations (black and white, and colour), maps (black and white, colour)
336			_atext _2rdacontent
336			_astill image _2rdacontent
336			_acartographic image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
500			_aAlso issued in print: 2021.
504			_aIncludes bibliographical references and index.
520	8		_aThis title focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.
521			_aSpecialized.
588			_aDescription based on online resource; title from PDF title page (viewed on February 22, 2022).
650		0	_aSustainable development _xData processing.
700	1		_aDunn, Jennifer B., _eeditor.
700	1		_aBalaprakash, Prasanna, _eeditor.
776	0	8	_iPrint version : _z9780128179765
856			_u#gotoholding _yAccess resource
942			_cEBOOK
997			_aKORTEXT
999			_c82484 _d82484