INTAMAP: The design and implementation of an interoperable automated interpolation web service

Discovering the Sensor Web through Mobile Applications

“…However, we imagine that future developments will integrate processing capabilities for actual data values. For example users could task web processing services (Foerster, Schaeffer, Baranski, & Brauner, 2011), to deduce, or more specifically interpolate, data with a higher spatio-temporal coverage for the user's context such as developed in the INTAMAP project (Pebesma, Cornford, Dubois, et al, 2010).…”

Development of the virtual research environment prototype for climate and ecological change research based on the distributed big geospatial datasets

“…Она уже была в той или иной степени реализована для предметных областей климатологии [6], гидрологии [7], и т.д., то есть для случаев, когда технологии ГИС являются частью научных исследований. Появление практических реализаций стандартов OGC (Open Geospatial Consortium) для веб-картографии, обработки и анализа пространственных данных [8], а также развитие клиентских библиотек (например LeafLet, http://leafletjs.com/), привело к дальнейшему росту популярности таких систем. Тем не менее, многие серьезные задачи в области геоинформатики, такие как обработка и анализ наборов многомерных данных, представляющих собой временные ряды геофизических параметров, таких как температура, количество осадков, и т.д., до сих пор не реализованы в качестве стандартов OGC и веб-технологий, [9].…”

Spatial statistics: Marks, maps, and shapes

“…Even though the function θ can be evaluated at any location throughout the region, here it is displayed as an image that depicts the values of θ at the center of each pixel in a regular grid comprising 40 × 30 pixels. These are the four models used for θ : Q: Locally quadratic regression model with nearestneighbor component of the smoothing parameter chosen by cross-validation, as implemented in R package locfit (Loader 1999(Loader , 2013; K: Ordinary kriging model with Matérn's covariance function and estimation of spatial anisotropy as implemented in R package intamap (Stein 1999;Pebesma et al 2010); G: Generalized additive model with thin-plate regression splines and smoothing parameter chosen by generalized cross-validation, as implemented in R package mgcv (Wood 2003(Wood , 2006; L: Multiresolution Gaussian process model as implemented in R package LatticeKrig, with default settings for all the user adjustable parameters (Nychka et al 2013(Nychka et al , 2014.…”

“…The interpolants were (1) a robust, locally quadratic regression (Loader 1999) implemented in R package locfit (Loader 2013), and (2) a kriging interpolant (Diggle and Ribeiro 2010) implemented in R package intamap (Pebesma et al 2010).…”