Home » Archive

Articles in the data analysis Category

CCAFS, data analysis, mgec »

[16 Dec 2011 | No Comment | ]

Ste-by-step tutorial on environmental analysis of crop trials using weather data with R

CCAFS, data analysis, mgec »

[16 Dec 2011 | No Comment | ]

To help bridge the gap between climate science and agricultural science, CCAFS is holding a capacitation workshop on how to use climate scenarios, modelling, and analogue tools to build the resilience of agricultural production systems. The workshop, titled “Using Climate Scenarios and Analogues for Designing Adaptation Strategies in Agriculture” will be held on 19-23 September in Kathmandu, Nepal.

CCAFS, data analysis, Featured, mgec »

[16 Dec 2011 | No Comment | ]

The Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) is investing in a large multi‐purpose repository of multi‐site agricultural trial information, and now looks to develop methods for analyzing this data to understand varietal response through genotype by environment (GxE) analyses. The methods developed under this project will then be used for
training developing country scientists and to develop a community of data analysts looking at varietal
response for a whole range of crops.

data analysis, mgec »

[17 Mar 2011 | No Comment | ]

Bayesian statistics
View more presentations from Alberto Labarga

data analysis, mgec, visualization »

[16 Mar 2011 | No Comment | ]

1 . Mapping with R
Following the first session about mapping with R I would like to propose you two exercises:
1) Plot a map of the world that presents information on the number of earthquakes around the world (by country)

Hint: The Significant Earthquake Database contains information on destructive earthquakes from 2150 B.C. to the present
2) Plot a map of Spain that shows any socio-economic variable by province (eg. population)

Hint:  You can find Spanish map files and data at Instituto Nacional de Estadística.
2. Data mining
After reading Development of Arab Water Sustainability Index …

data analysis, mgec, visualization »

[16 Mar 2011 | No Comment | ]

The final project for the Advanced Quantitative Data Analysis course consists in a multidimensional analysis of nuclear energy around the world. Some question you may try to ask are:

is it safe?
is it clean?
is it cheap?
is it fair?

You may find inspiration for a discussed analysis in the Statistical Analysis and Visualization of the Drug War in Mexico by Diego Valle.
Some useful links:
Nuclear power plant accidents: listed and ranked since 1952
Nuclear energy data
The Nuclear Energy Agency’s annual brown book

data analysis, mgec »

[15 Mar 2011 | One Comment | ]

pc.cr <- princomp(USArrests, cor = TRUE)
summary(pc.cr)
loadings(pc.cr) ## note that blank entries are small but not zero
plot(pc.cr) # shows a screeplot.
biplot(pc.cr)

[\code]
Clustering

View more presentations from Alberto Labarga.

Readings:
Measuring environmental degradation by using principal component analysis
Development of Arab Water Sustainability Index Using Principal Component Analysis
A MULTIVARIATE ANALYSIS OF THE HUMAN DEVELOPMENT INDEX

data analysis, mgec »

[14 Mar 2011 | No Comment | ]

Meta analysis with R
View more presentations from Alberto Labarga.

Readings:
Conducting Meta-Analyses in R with the metafor R package
Meta-analysis and its application in global change research
The Truth Wears Off
http://www.scientifik.info/downloads/Conducting%20Meta-Analyses%20in%20R%20with%20the%20metafor%20R%20package.pdf

data analysis, mgec, visualization »

[14 Mar 2011 | No Comment | ]

1. Choropleth map in R challenge
After FlowingData published an article on how to make a choropleth map (a map with regions shaded by values of a measurement variable) using Python, people at Revolutions launched a choropleth map in R challenge.

In less than 24 hours, no less than 5 hackers responded with complete solutions for plotting the US unemployment data on a color-coded map, each in less than 20 lines of R code.  Overall, the results were very close to the FlowingData original.
R graphics guru Hadley Wickham was first …