Random selection algorithms for spatial and temporal sampling

Random selection algorithms for spatial and temporal sampling.

Seven BASIC programs are presented that use algorithms for selection of treatments and samples in spatial and temporal contexts. Program (1) takes a natural sequence of samples (such as logs cut from a tree trunk) and divides them into groups (equal to the number of samples divided by treatments), and then selects non-redundantly from each group a sample at random for each treatment. Program (2...

Random Sampling: Sorting and Selection

Random sampling techniques have played a vital role in the design of sorting and selection algorithms for numerous models of computing. In this article we provide a summary of sorting and selection algorithms that have been devised using random sampling. Models of computations treated include the parallel comparison tree, the PRAM, the mesh, the mesh with fixed, reconfigurable, and optical buse...

Planning for Protected Areas Using Spatial and Temporal Metrics

Random-temporal block selection for video stabilization

Digital video stabilization allows to acquire video sequences without disturbing jerkiness by removing from the image sequence the effects caused by unwanted camera movements. One of the bottlenecks of these approaches is the local motion estimation step. In this paper we propose a Block Selector able to speed-up the block matching based video stabilization techniques without considerably degra...

Basic algorithms for random sampling and treatment randomization.

Five BASIC programs to select random samples from populations or to randomize treatments are presented. Program 1 is used to obtain randomization of any number of treatments in an equal number of positions or test units for any number of replicates. Program 2 produces latin squares of any size for treatment randomization. Program 3 is used to obtain a specific number of randomly selected sample...