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This chapter also presents a system that generates reports combining automatically generated ... in different circumstan
data can only be âcorrectedâ for a single point on the sky. ... sufficient to predict it at the phase center (shifti
We study a Ramsey problem in infinite and continuous time and space. The problem is discounted both temporally and spatially. Capital flows to loca- tions with ...
and more specifically about the definition of 3D spatial objects. Secondly, we present a new framework for representing spatial relationships. The framework has ...
The urban development, or spatial, process is composed of at least two sets of inter- related spatial .... or signatures on forms to hire or fire persons are examples of choice opportunities. ...... This PDF may not be placed on any website (or other
Jan 26, 2015 - Index TermsâEdge detection, Primal sketch model, Perceived brightness, Local ... is a linear operator the noisy pixel will not be suppressed by.
Real survey data is messy ... Weather has a big effect on detectability. Need to record during survey. Disambiguate ...
Practical advice
Real survey See ?smooth.construct.cs.smooth.spec
Smoothing in complex regions Edges are important Whales don't live on land Bad things happen when we don't account for this Include boundary info in smoother ?soap
Multivariate smooths Thin plate splines are isotropic 1 unit in any direction is equal Fine for space, not for other things
Tensor products sx,z (x, z) = ∑k1 ∑k2 βk sx (x)sz (z) As many covariates as you like! (But takes time) te() or ti() (instead of s())
Black bears like to sunbathe
Random effects normal random effects exploits equivalence of random effects and splines ? gam.vcomp useful when you just have a “few” random effects ?random.effects
Making things faster
Parallel processing Some models are very big/slow Run on multiple cores Use engine="bam"! Some constraints in what you can do Wood, Goude and Shaw (2015)
Summary Lots of complicated problems Lots of potential solutions (see also “other approaches” mini-lecture) Need to get simple things right first Trade assumptions for data
