Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

Morphological segmentation of binary patterns

The fragmented forest : island biogeography theory and the preservation of biotic diversity / Larry D. Harris

Data clustering is one of the most popular techniques in data mining. It is a method of grouping data into clusters, in which each cluster must have data of great similarity and high dissimilarity with other cluster data. The most popular clustering algorithm K-mean and other classical algorithms suffer from disadvantages of initial centroid selection, local optima, low convergence rate problem etc. Particle Swarm Optimization (PSO) is a population based globalized search algorithm that mimics the capability (cognitive and social behavior) of swarms. PSO produces better results in complicated and multi-peak problems. This paper presents a literature survey on the PSO application in data clustering. PSO variants are also described in this paper. An attempt is made to provide a guide for the researchers who are working in the area of PSO and data clustering.

A review on particle swarm optimization algorithms and their applications to data clustering

The study of landscape connectivity in conservation has increased considerably since the early part of the 21st century. While the implications of landscape connectivity are self-evident for conservation, they are also important for physical geography since a proper understanding of landscape patterns and processes allows for better landscape management practices, which are at the core of geography. This paper presents a review of the literature based on 162 publications from 2000 to 2013, in which we evaluated the current state and recent advances in the integration of landscape connectivity in the identification and planning of conservation areas. The literature review and data analysis were based on a database organized into five categories: General information, study areas, research objectives, research methods in connectivity studies, and integration of connectivity with conservation. We found a substantial increase in the number of publications relating to connectivity and conservation from 2008 to ...

Habitat connectivity in biodiversity conservation: A review of recent studies and applications

https://www.srs.fs.usda.gov/pubs/ja/ja_vogt002.pdf

Mapping landscape corridors

Non-destructive testing of carbon-fibre-reinforced polymer materials with a radio-frequency inductive sensor

This paper regards the application of interpolation tools offered by mathematical morphology to color images. The approach presented here uses the lexicographic ordering to compare values of the pixels. These comparisons are performed in a new, transformed color space-the comparative color space, which is essential with respect to the visual importance of color channels for the human perception. By combining the morphological median and the proposed approach to treatment of color images, an efficient and fully automatic method of creation of a color interpolation sequence is obtained. It enables entirely automatic creation of a morphing sequence for some types of images. However, certain classes of images contain sensitive areas. In order to control the behavior of such areas, control points are introduced. Starting from the control points and two initial images, a warped morphological median is created, which is then used instead of a simple morphological median to create a deformation sequence for the mentioned images with sensitive areas.

/pdf/morphological-interpolation-and-color-images-342pamkdm4.pdf

Morphological interpolation and color images

This paper describes the multistage morphological segmentation method (MSMA) for microscopic cell images. The pro− posed method enables us to study the cell behaviour by using a sequence of two types of microscopic images: bright field images and/or fluorescent images. The proposed method is based on two types of information: the cell texture coming from the bright field images and intensity of light emission, done by fluorescent markers. The method is dedicated to the image sequences segmentation and it is based on mathematical morphology methods supported by other image processing tech− niques. The method allows for detecting cells in image independently from a degree of their flattening and from presenting structures which produce the texture. It makes use of some synergic information from the fluorescent light emission image as the support information. The MSMA method has been applied to images acquired during the experiments on neural stem cells as well as to artificial images. In order to validate the method, two types of errors have been considered: the error of cell area detection and the error of cell position using artificial images as the “gold standard”.

Multistage morphological segmentation of bright-field and fluorescent microscopy images

This paper introduces a novel method for vehicle speed detection based exclusively on visual information. The proposed system consisting only of a digital camera and a computer is able to identify both the speed of the passing vehicle and its licence plate numbers, which makes it an interesting alternative to existing and expensive photoradar systems. The principle of operation is simple: vehicles are identified by their licence plates and their speed is measured based on the vertical difference of their position in consecutive images. An experimental evaluation shows the high accuracy of vehicle speed measurement, comparable to the one provided by comercially available radar-based systems.

Marcin Iwanowski

Papers

Mapping landscape corridors

Non-destructive testing of carbon-fibre-reinforced polymer materials with a radio-frequency inductive sensor

Morphological interpolation and color images

Multistage morphological segmentation of bright-field and fluorescent microscopy images

Vision-based vehicle speed measurement method