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The SSN package for R provides a set of functions for modeling stream network data. The package can import geographic information systems data or simulate new data as a 'SpatialStreamNetwork', a new object class that builds on the spatial sp classes. Functions are provided that fit spatial linear models (SLMs) for the 'SpatialStreamNetwork' object. The(More)
Description Functions that compute the spatial covariance matrix for the matern and power classes of spatial models, for data that arise on rectangular units. This code can also be used for the change of support problem and for spatial data that arise on irregularly shaped regions like counties or zipcodes by laying a fine grid of rectangles and aggregating(More)
AIMS To investigate whether there are important sources of heterogeneity between the findings of different clinical trials which administer autologous stem cell treatment for acute myocardial infarction (AMI) and to evaluate what factors may influence the long-term effects of this treatment. METHODS AND RESULTS MEDLINE (1950-January 2011), EMBASE(More)
Selective phenotyping is a way of capturing the benefits of large population sizes without the need to carry out large-scale phenotyping and hence is a cost-effective means of capturing information about gene–trait relationships within a population. The diversity within the sample gives an indication of the efficiency of this information capture; less(More)
The aim of this paper is to study the nature of spatial correlation of yields of agricultural crops. The focus is primarily on natural or non-anthropogenic spatial variation, patterns that cannot be explained by topography, by variety or treatment effects, or by agricultural practices. Conformal invariance implies stationarity and isotropy, and also(More)
Imaging Mass Spectrometry (IMS) provides a means to measure the spatial distribution of biochemical features on the surface of a sectioned tissue sample. IMS datasets are typically huge and visualisation and subsequent analysis can be challenging. Principal component analysis (PCA) is one popular data reduction technique that has been used and we propose(More)
This open-access work is published under the terms of the Creative Commons Attribution NonCommercial License 2.0 Germany, which permits use, reproduction & distribution in any medium for non-commercial purposes, provided the original author(s) and source are given credit. 1 Introduction 946 2 Theory: Temporary migration and childbearing 946 2.1 Disruption(More)
permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract This paper provides new empirical evidence about English and Welsh charities operating internationally. It answers basic questions unaddressed in existing work: how many charities work overseas, and how has this number changed(More)