Wildlife Science

  1. This first lecture introduce you with CAS notably Maxima for solving mathematical problems. Maxima can solve all mathematical problems but it does that symbolically hence this CAS is symbolic algebraic system.

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  2. In this lecture I cover the current status of dwindling tiger population across Indo-Malayan ecosystems. I conclude the lecture by delineating set of GIS maps on fragmented tiger conservation landscape and its conservation implications on TX2 : Dobling the tiger population size by year 2022.

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  3. In this lecture, I showed you how to carry out two tired random sampling in ecologically suitable habitat for Fishing Cat population study. The lecture provided sound background information in relation to statistically valid sampling design and its utilization in conceptually unified and ecologically sound GIS based system QGIS.

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  4. In this lecture, I talked about ecological sampling method by utilizing the power of QGIS utilities. We first talked about the importance and significant of ecological sampling method for wildlife data collection in the field followed by showing you how to harness the power of QGIS to create random sampling blocks, random sampling points, grid cells, random grids and technical and logistic setbacks dealing with polygon shapefile and how to overcome those issues by adopting different random sampling strategy against the backdrop of polygon shape map in our vector layer.

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  5. Here, we talk about herpetologically valued keystone snaked called Copperhead Pit Viper in Brazos County, Texas. We look into Copperhead distribution pattern across Brazos landscape, followed by its population distribution both in sampling point and graduate mapping. We then go ahead modeling the Copperhead population distribution by utilizing the power of Triangulated Irregular Network (TIN) method in QGIS.

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Wildlife Science

Bushmaster

Wildlife Science is a veritable smorgasbord of mathematics (Calculus, Statistics and Linear Algebra mainly), computer programming (notably in R, Python and Maxima), geographic information system (QGIS is ideal), ecology, environmental science, sociology…


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Wildlife Science is a veritable smorgasbord of mathematics (Calculus, Statistics and Linear Algebra mainly), computer programming (notably in R, Python and Maxima), geographic information system (QGIS is ideal), ecology, environmental science, sociology (mainly eco-sociology) and other liberal arts disciplines (environmental ethics, ethno cultural and gender rights). First sets of lectures are on QGIS but lectures on R programming, mathematics, other ecological focus will follow.

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