3229 search results for "map"

ShareLaTeX now supports knitr

January 31, 2014
By

ShareLaTeX (click here to register a free account) is a wonderful and reliable on-line editor for writing and compiling LaTeX documents “in the cloud” as well as working together in real-time (imagine Google Docs supporting LaTeX => you get ShareLaTeX).…Read more ›

Read more »

Introducing the ecoengine package

January 30, 2014
By
Introducing the ecoengine package

Natural history museums have long been valuable repositories of data on species diversity. These data have been critical for fostering and shaping the development of fields such as biogeography and systematics. The importance of these data repositories is becoming increasingly important, especially in the context of climate change, where a strong understanding of how species responded to past...

Read more »

R for spatial analysis tutorial + video

January 30, 2014
By

On 24th January 2014 I ran a one day practical course on an "Introduction to Spatial Data Visualisation in R" at the University of Leeds, with the help of demonstrators Rachel Oldroyd and Alistair Leak, who came up from London for the event. The course is designed for people completely new to R, who are especially interested in its spatial...

Read more »

GMT topography colours (II)

January 30, 2014
By
GMT topography colours (II)

This follows an item about GMT colours. In the meantime I have found a website illustrating the colours, and also the definition files for those palettes. The palette in question is named GMT_relief, and it is defined in a file that is as follows. # $Id: GMT_relief.cpt,v 1.1 2001/09/23 23:11:20 pwessel Exp $ # # Colortable for whole earth...

Read more »

R for spatial analysis tutorial + video

January 30, 2014
By

On 24th January 2014 I ran a one day practical course on an "Introduction to Spatial Data Visualisation in R" at the University of Leeds, with the help of demonstrators Rachel Oldroyd and Alistair Leak, who came up from London for the event. The course is designed for people completely new to R, who are especially interested in its spatial...

Read more »

Quantitative Finance Applications in R – 3: Plotting xts Time Series

January 28, 2014
By
Quantitative Finance Applications in R – 3: Plotting xts Time Series

by Daniel Hanson, QA Data Scientist, Revolution Analytics Introduction and Data Setup Last time, we included a couple of examples of plotting a single xts time series using the plot(.) function (ie, said function included in the xts package). Today, we’ll look at some quick and easy methods for plotting overlays of multiple xts time series in a single...

Read more »

Expected overestimation of Cohen’s d under publication bias

January 27, 2014
By
Expected overestimation of Cohen’s d under publication bias

Earlier this week I read this article about “Why Publishing Everything Is More Effective than Selective Publishing of Statistically Significant Results” by Mercal et al (2014). The authors simulated different meta-analytic scenarios and came to the conclusion that publishing everything is more effective for the scientific collective. This got me thinking about...

Read more »

Expected overestimation of Cohen’s d under publication bias

January 27, 2014
By
Expected overestimation of Cohen’s d under publication bias

In this post I will use the theoretical and empirical sampling distribution of Cohen's d to show the expected overestimation due to selective publishing. I will look at the overestimation for various sample sizes when the population effect is 0, 0.2, 0.5 and 0.8. The conclusion is that you should be weary of effect sizes from small samples, and...

Read more »

Accurate imputation and valid statistical inference with ensemble

January 25, 2014
By
Accurate imputation and valid statistical inference with ensemble

Imputation is predictive inference and not causal inference! I have met many people, who consider the two are equivalent. Their reasoning is based on the belief that if you can produce a model which replicate the data generating...

Read more »

Importing bathymetry and coastline data in R

January 25, 2014
By
Importing bathymetry and coastline data in R

After noticing some frustrating inaccuracies with the high-resolution world coastlines and national boundaries database found in worldHires from the package mapdata (based on CIA World Data Bank II data), I decided to look into other options. Although listed as "depreciated", the data found in NOAAs online "Coastline Extractor" is a big step forward. There...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)