[TZGISUG] Fwd: [SDI-Africa] Tanzania: Conservation Resource Centre 2013 Skills Workshops
ragnvald at mindland.com
Thu Oct 17 01:31:53 EAT 2013
Meet up and learn :-)
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Subject: [SDI-Africa] Tanzania: Conservation Resource Centre 2013
Date: Wed, 16 Oct 2013 15:16:18 -0700 (PDT)
From: Kate Lance <klance_remote at yahoo.com>
Reply-To: Kate Lance <lancekt at aya.yale.edu>
To: SDI-Africa <sdi-africa at lists.gsdi.org>
Tanzania Conservation Resource Centre 2013 Skills Workshops
The Centre will be putting on a series of science skills workshops
before and after the Tanzania Wildlife Research Institute (TAWIRI)
in late November & early December 2013. CRC courses are designed to give
you immediately-useful skills that you can walk away feeling confident
with. Brief summaries are below.
Courses cost approximately $75 per day, with accommodation and food
Preliminary registration: CRC Skills Workshops 2013
Distance Sampling: 25-27 November & 28-30 November
Distance sampling is a widely-used method for estimating animal
population size or density. The course will be split into two
components, of 3 days each:
Sampling methods â?? the principles behind distance sampling, basics on
how to design a good survey, collecting data, and preliminary analyses.
Survey design and analysis â?? this second workshop will focus on how to
analyze distance sampling data in the software Distance, as well as
covering more advanced aspects of survey design.
Introduction to distance sampling: 25-27 November
The emphasis of the workshop will be on how to design a good distance
sampling survey, how to collect good data and how to do preliminary
analyses using pen and paper, a calculator and a computer spreadsheet.
Target audience: Any wildlife biologist who wants to design, collect or
analyze distance sampling survey data. Complete beginners are very
welcome! Those with more experience may: (i) benefit from the refresher,
(ii) learn something from the detailed discussion of assumptions, how to
meet them, and what happens if things go wrong, (iii) be able to use the
material as a basis for teaching others.
Distance Sampling Survey Design and Analysis: 28-30 November
Target audience: People who are familiar with the concepts covered on
the previous workshop, and who want to analyze survey data using the
program Distance. Pre-requisites: Attendance at workshop 1, or
familiarity with all of the concepts covered on that workshop.
Introduction to GIS with QGIS: 28-30 November
Elements of GIS, creation of maps & integration of GPS data, spatial
analysis. Focusing on QGIS (a free GIS package), this 3 day course will
give practical skills in creating maps, understanding cartographic
concepts, and basic analysis.
Introduction to Statistics with R: 9-13 December
An ability to understand and undertake basic statistical analyses is
essential to the modern ecologist, yet many ecology students lack
confidence and ability in statistical analysis. In fact, the basic
statistics that should be mastered by all ecologists requires no
advanced mathematical ability, but rather a basic grasp of probability,
and access to appropriate statistical software. In recent years, the
free and open source statistical software program â??Râ?? has become the
package of choice for many academic statisticians and ecologists
world-wide. This popularity is due not only to the completely free
distributions that are available online, but to the extraordinarily
powerful and rapidly growing set of user-built packages that implement
cutting edge statistical models, often even before the new methods have
been published in the scientific literature. Unfortunately, compared to
spreadsheets and many software programs familiar to ecologists, R has a
rather steep learning curve. This course offers students the chance to
learn basic statistical methods at the same time as learning R. The
course aims to give students confidence in their ability to undertake
basic statistical analysis, give an awareness of the ways in which these
models can be extended, and to provide basic competence in using R.
Spatial Analysis with R: 2-3 December
Being able to analyse spatial data has become an important skill for
ecologists. This course is an introduction to spatial data analysis
using the R environment. Day 1 will be a course consisting of taught
sessions and practicals. Day 2 will be a workshop where we assist people
with analysing their own data.
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