[TZGISUG] Fwd: [SDI-Africa] Tanzania: Conservation Resource Centre 2013 Skills Workshops

ragnvald 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 
Skills Workshops
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) 
Scientific Conference 
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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