9dfd6d8b20414954acb623d73b9dc43b
eng
series
DMP Statistical Solutions Ltd
+44 (0) 1334 477 544
The Coach House Office, Mount Melville House
St. Andrews
Fife
KY16 8NT
United Kingdom
mail@dmpstats.com
http://dmpstats.com/
author
2013-11-21
MEDIN Discovery metadata standard
2.3.7
urn:ogc:def:crs:EPSG::32631
2014, DMP, Zone 3 Dogger Bank Teesside A and B, Statistical Analysis of Marine Mammal Data
2013-05-24
publication
DMPStats FWL Teesside A B
http://dmpstats.com/
documentDigital
tableDigital
Statistical analyses of Hi-Def aerial survey marine mammal observation survey data for the Dogger Bank development zone between 2009 and 2012. The scope of work requested from DMP Statistical Solutions UK Limited was a package of outputs that reflect the spatial distribution of several species/groups through time. The scope of species and species-groups were agreed with Forewind prior to analysis. The requirements were:
1. Annual relative abundance surfaces where possible for identified groups.
2. Relative and absolute abundance surfaces, over all surveys, for:
a. Harbour porpoise.
b. ‘Potential harbour porpoise’ grouping.
c. Harbour porpoise & ‘Potential harbour porpoise’ grouping combined.
d. White-beaked dolphin.
e. Minke.
f. Grey seal.
The statistical models give expected density surfaces (numbers per square km) and upper and lower confidence bounds, potentially over a range of times e.g. monthly, seasonally, yearly. The models are based on a type of Generalized Additive Model (GAM) using radial basis functions with spatially adaptive knots and radius parameter (Walker et. al. 2011, Scott-Hayward et. al. (TBD)). The predictions in these files are given in a form adjusted for the following availability figure (absolute abundances) and a form UN-adjusted for availability (relative abundances).
Provides spatially explict species density estimates and uncertainty (95% CIs) associated with these. These are expected to be used for species distribution maps or input to other modelling/simulations etc.
DMP Statistical Solutions Ltd
+44 (0) 1334 477 544
The Coach House Office, Mount Melville House
St. Andrews
Fife
KY16 8NT
United Kingdom
mail@dmpstats.com
http://dmpstats.com/
originator
Forewind Ltd
+44 (0)800 975 5636
Davidson House,
Forbury Square
Reading
RG1 3EU
United Kingdom
info@forewind.co.uk
http://www.forewind.co.uk/
custodian
Forewind Ltd
+44 (0)800 975 5636
Davidson House,
Forbury Square
Reading
RG1 3EU
United Kingdom
info@forewind.co.uk
http://www.forewind.co.uk/
pointOfContact
notPlanned
ESRI ArcGIS Shapefile
10
Marine Environmental Data and Information Network
Marine Mammals
Global Change Master Directory Science Keyword variables
2007-04-18
revision
4
cetacean
SeaVoX Platform Categories
2013-08-21
revision
10
Cetacean abundance
SeaDataNet Parameter Discovery Vocabulary
2014-10-09
revision
86
grey seals
dolphins
Marisaurus Thesaurus
2010-09-22
revision
28
model
MX_ScopeCode
2012-07-05
revision
1
Consenting
The Crown Estate Renewable Energy Development Phases
2012-05-15
revision
1
Zone search area
The Crown Estate Renewable Energy Development Areas
2012-05-15
revision
1
Marine Biodiversity
MEDIN Parameter Discipline Keywords
2012-06-09
revision
3
otherRestrictions
Forewind - internal use only
Forewind - internal use only
0.02
eng
geoscientificInformation
Charting Progress 2 Sea Areas
2009-06-18
creation
Southern North Sea
SeaDataNet vertical extent keywords
2010-01-01
revision
unknown
1.17
3.46
54.60
55.85
2009
2012
Shapefile attribute table field headings are:
xCent - centre of prediction cells in the horizontal. Metres UTM 31N.
yCent - centre of prediction cells in the vertical. Metres UTM 31N.
relPredict - the relative mean densities (in km-squared) from the model, unadjusted for availability. These are averages for the entire survey period 2009-2012 inclusive.
relLowerCI - the lower 95% confidence bound for the relative mean densities (in km-squared) from the model, unadjusted for availability.
relUpperCI - the upper 95% confidence bound for the relative mean densities (in km-squared) from the model, unadjusted for availability.
absPredict - the absolute mean densities (in km-squared) from the model, adjusted for availability. These are averages for the entire survey period 2009-2012 inclusive.
absLowerCI - the lower 95% confidence bound for the absolute mean densities (in km-squared) from the model, adjusted for availability
absUpperCI - the upper 95% confidence bound for the absolute mean densities (in km-squared) from the model, adjusted for availability.
http://www.marinedataexchange.co.uk/search?q=#fq=fq%3DProject%253Amde1r3z3db8006
download
https://www.marinedataexchange.co.uk/details/2507/summary
A link to the web service or dataset.
https://www.marinedataexchange.co.uk
A link to the general host site.
dataset
Created in R v2.14.2 (windows 64-bit) from R dataframes using the maptools package.
The statistical models give expected density surfaces (numbers per square km) and upper and lower confidence bounds, potentially over a range of times e.g. monthly, seasonally, yearly. The models are based on a type of Generalized Additive Model (GAM) using radial basis functions with spatially adaptive knots and radius parameter (Walker et. al. 2011, Scott-Hayward et. al. (TBD)).