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GIS as a mine rehabilitation tool: examples from Wangaloa Coal Mine
At the Wangaloa Coal Mine, South-East Otago, ArcGIS is being used to manage, integrate, analyse and visualise the diverse range of datasets being generated from an interdisciplinary research team. GIS will assist with ...
An empirical investigation of the Maslov limit order market model
Modeling of financial market data for detecting important market characteristics as well as their abnormalities plays a key role in identifying their behavior. Researchers have proposed different types of techniques to ...
A preliminary investigation of the stability of Geographically-Weighted Regression
This paper describes preliminary work analysing the stability of parameter coefficient estimates for Geographically-Weighted Regression (GWR). Based on a large dataset (35721 points) various random samplings of this data ...
Discovering population structures with extreme fixation rates via evolutionary search
Genetic drift is a well known and important force in directing the evolution of a population. The nature of genetic drift in panmictic populations is well understood, and new research is shedding light on the behaviour of ...
Spatial variation in the association between neighbourhood deprivation and access to alcohol outlets
Background: People who live in poor areas suffer higher mortality than those living in wealthier areas. People who live in poor areas in New Zealand have better access to alcohol and this association appears to vary ...
Spatial location of genes within cells in gene interaction networks
Text mining techniques have become a popular method for discovering relationships between genes based on searching the biomedical literature. The co-occurrence of gene names within individual documents is used to produce ...
Spatio-temporal and object visualization in rugby union
The use of computer software as an aid to rugby, and sports coaching in general, is becoming increasingly utilized. Videoed sport is the most widely used form of raw data for sports analysis, though it is currently not ...
Generic vector-agents
The work reported here has been motivated by the need for a generic spatial model to overcome the limitations of Cellular Automata (CA) regarding the rigid square-cell structure and limited neighbourhood configurations. A ...
Time-line hidden Markov experts and its application in time series prediction
A modularised connectionist model, based on the Mixture of Experts (ME) algorithm for time series prediction, is introduced. A set of connectionist modules learn to be local experts over some commonly appearing states of ...
The use of boundary conditions for inductive models
There is a large amount of interest in creating models from data using a variety of machine learning methods. Most of these approaches require a good distribution of observed values to produce reliable models. The use of ...