000	00000nam##2200000za#4500
001	9.619994
003	CaOODSP
005	20210615103818
007	ta
008	150406|2010||||xxc|||||     f|0| 0 eng|d
022	|a0706-6457
040	|aCaOODSP|beng
043	|an-cn---
086	1 |aFs97-6/2879E
110	1 |aCanada. |bDepartment of Fisheries and Oceans.
245	10|aSpatial framework for storage and analyses of fish habitat data in Great Lakes's areas of concern : |bHamilton Harbour geodatabase case study / |cby A.G. Doolittle, C.N. Bakelaar and S.E. Doka.
260	|aBurlington - Ontario : |bFisheries and Oceans Canada |c2010.
300	|axi, 68p. : |bcoloured maps, graphs, illus., references ; |c28 cm.
490	1 |aCanadian technical report of fisheries and aquatic sciences|x0706-6457|vNo. 2879
500	|a"Great Lakes Laboratory for Fisheries and Aquatic Sciences Central & Arctic Region Fisheries and Oceans Canada 867 Lakeshore Rd. Box 5050 Burlington, Ontario L7R 4A6"
520	3 |aThis approach synthesizes data from different projects into a geographic database (geodatabase), it can be utilized as a guide in standardizing formats, data structures and data layers that are used in generating and mapping key habitat features (vegetation, substrate, depth). These layers support fish habitat suitability, habitat supply, fish population and ecosystem models. Difficulties encountered will be discussed as well as rationale for the approach used. Construction and storage of these spatial layers within a GIS enables quantitative measurements of habitat and analysis of trends over time and space.
546	|a(Résumé en français)
563	|aSpiral binding
590	|a10-48|b2010-12-03
720	1 |aDoka, S.E.
720	1 |aBakelaar, C.N.
720	1 |aDoolittle, A.G.
776	0#|tSpatial framework for storage and analyses of fish habitat data in Great Lakes's areas of concern : |w(CaOODSP)9.568863
830	#0|aCanadian technical report of fisheries and aquatic sciences,|x0706-6457|vNo. 2879|w(CaOODSP)9.514691