000			01908nam a2200409 i 4500
001			ebr11001821
003			CaPaEBR
007			cr cn|||||||||
008			150114t20142014enka ob 001 0 eng d
020			_z9781783984367
020			_a9781783984374 (e-book)
040			_aCaPaEBR _beng _erda _epn _cCaPaEBR
035			_a(OCoLC)900886812
050	1	4	_aG70.217.G46 _b.D676 2014eb
082	0	4	_a025.06910285 _223
100	1		_aDorman, Michael, _eauthor.
245	1	0	_aLearning R for geospatial analysis : _bleverage the power of R to elegantly manage crucial geospatial analysis tasks / _cMichael Dorman.
264		1	_aBirmingham, England : _bPackt Publishing, _c2014.
264		4	_c�2014
300			_a1 online resource (364 pages) : _bcolor illustrations.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aCommunity Experience Distilled
504			_aIncludes bibliographical references and index.
588			_aDescription based on online resource; title from PDF title page (ebrary, viewed January 14, 2015).
590			_aElectronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
650		0	_aGeospatial data.
650		0	_aSpatial analysis (Statistics)
655		0	_aElectronic books.
776	0	8	_iPrint version: _aDorman, Michael. _tLearning R for geospatial analysis : leverage the power of R to elegantly manage crucial geospatial analysis tasks. _dBirmingham, England : Packt Publishing, c2014 _hv, 345 pages _kCommunity experience distilled. _z9781783984367
797	2		_aebrary.
830		0	_aCommunity experience distilled.
856	4	0	_uhttp://site.ebrary.com/lib/kliuc/Doc?id=11001821 _zAn electronic book accessible through the World Wide Web; click to view
942			_2lcc _cEBK
999			_c246192 _d246192