al. 2005). The various models of spatial analysis was discussed namely queries, transformations, measures and spatial interpolation. Under transformation buffering, point-in-polygon, polygon overlay are some operations that were discussed. Under measure the distance and length measurements were discussed as well as slope and aspects. Finally under the subject of spatial interpolation Theissen polygons, inverse-distance weighting and kriging were elaborated on. To conclude, spatial data analysis and
contained rain gauge station. The amount of rain falling on each polygon can be calculated as the amount recorded by the rain gauge multiplied by the area of the polygon (Aronoff, 1989) b) Inverse-Distance Weighting Inverse distance weighted (IDW) interpolation is a method that enforces the condition that the estimated value of a point is influenced more by nearby known points than by those farther away (Chang, 2010). Inverse distance weighted estimates cell values by averaging the values of sample data
diminish their appeal: Unlike the univarite case, the scale of the values displayed on the multivariate chart is not related to the scales of any of the monitored variables. Once an out-of-control signal is given by a multivariate chart, it may be difficult to determine which variable caused this signal. More complicated operations are required to determine the origin of the signals. Therefore, Multivariate Statistical Process Control (MSPC) techniques, which consider all the variables of interest
unique characteristics that the bank’s customers might have. It was the conclusion of the author that financial ratios when combined with statistical analysis still remain a valuable tool. The theoretical conclusion was that ratios used within a multivariate framework take on a more influential role than when used in isolation. The discriminate model was very accurate in the initial sample of 66 firms, correctly predicting 94 percent of the original bankrupt firms. The potential suggested used of the
Stylometry is a quantitative investigation into the characteristics of an author’s style. Lann (1995) defines the term as a technique “to grasp the often elusive character of an author's style, or at least part of it, by quantifying some of its features” (1995:271). Matthews and Merriam (1993) agree claiming “Stylometry attempts to capture quantitatively the essence of an individual’s use of language” (1993:203). To put it simply, stylometric analysis is an approach to the investigation of characteristics
Study of Literature for related work is the most important step in software development process. Before designing and developing the tool it is necessary to determine the time factor, the economy and company strength. Considering the importance of software reliability in software engineering, its prediction becomes a very fundamental issue. Machine learning and soft computing techniques have been leading the statistical techniques in last two decades as far as their applications to software engineering
Bivariate Relationships Problem: I am going to investigate if there is a relationship between the (explanatory variable) sampling height (cm) and the (response variable) height of the crown of the saplings (cm) that is measured from the base of the crown. Based from the data from study plots of either 1.5 hectares or 2.25 hectares in the Waitutu forest. Trees were randomly selected within the plots and measured during the summer. The plots were selected to be a representative sample of the vegetation
Chapter 1 Introduction 1. Introduction Deforestation is defined as the conversion of forest cover to non-forest land by human activities and is one of the biggest environmental challenges today. Forests all around the world are threatened by unsustainable deforestation but especially severe has the clearing of the tropical rainforests been [6]. Satellite imagery provides an efficient means to retrieve information on the status and extent of forest resource and changes thereof. The large are coverage