000			02199nam a22003738i 4500
001			CR9780511624094
003			UkCbUP
005			20200124160222.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090916s1990||||enk o ||1 0|eng|d
020			_a9780511624094 (ebook)
020			_z9780521303880 (hardback)
020			_z9780521448550 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH352 _b.R46 1990
082	0	0	_a574.5/248/072 _220
100	1		_aRenshaw, Eric _c(Professor), _eauthor.
245	1	0	_aModelling biological populations in space and time / _cEric Renshaw.
246	3		_aModelling Biological Populations in Space & Time
264		1	_aCambridge : _bCambridge University Press, _c1990.
300			_a1 online resource (xvii, 403 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge studies in mathematical biology ; _v11
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.
650		0	_aPopulation biology _xStatistical methods.
650		0	_aSpatial analysis (Statistics)
776	0	8	_iPrint version: _z9780521303880
830		0	_aCambridge studies in mathematical biology ; _v11.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511624094
999			_c516827 _d516825