QGIS v ArcGIS - xyHt Okay, so I’m likely to get lynched, but before all the lovers/haters come out of the woodwork I’d like to remind everyone that these two systems are both great achievements. We are looking at two software systems that have changed the way we look at the world and the way we think about the world around us. The have allowed us to communicate issues and information in near real time and have saved many lives. Open Data Watch Indexes of Data Quality and Openness This article reviews three indexes that assess the openness or quality of data produced by national governments. The Open Data Barometer (ODB), produced by the Open Data Institute and the Worldwide Web Foundation, and the Open Data Index (ODI), produced by the Open Knowledge Foundation, rate the openness of heterogonous sets of data produced by governments, of which the outputs of the national statistical system are only a part. The third, the World Bank’s Statistical Capacity Index (SCI), rates the capacity of a national statistical system to produce reliable statistics but does not consider whether the data meet the criteria for openness. Although the three differ in design and content, their ratings across countries are, for the most part, highly correlated. The purpose of this article is not to rate the raters or pick a winner among the three approaches.
Web Trend Map 4 by Oliver Reichenstein The has been featured all across the web from TechCrunch to BoingBoing, and Gawker. Now the latest version of our popular Web Trend Map is up for grabs. About StatLearning About This Course This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. We focus on what we consider to be the important elements of modern data analysis.
Global Views on Morality Do you personally believe that married people having an affair is morally acceptable, morally unacceptable, or is it not a moral issue? Do you personally believe that gambling is morally acceptable, morally unacceptable, or is it not a moral issue? Do you personally believe that homosexuality is morally acceptable, morally unacceptable, or is it not a moral issue? Do you personally believe that having an abortion is morally acceptable, morally unacceptable, or is it not a moral issue? 3. Getting Started [Documentation Center] This Getting Started guide describes how to: Load an existing data transformation Create a new data transformation 3.1 Start Spatialytics ETL
Rankings To create a global ranking, we aggregated the sub-indexes of the Open Data Barometer. Comparing scores and ranks in the second edition with those in the first can help to identify countries making progress, and those where progress has stalled. As this year’s Barometer covers 86 countries (compared with the 77 countries covered in 2013), a change in rank position may result both from new countries entering the assessment above or below the score of a previously included country, as well as from substantial changes to that country’s score. The table below presents the global rankings of the Open Data Barometer, including the overall Barometer score, as well as comparisons between the first and second editions of the Barometer. You can sort and filter this table, and group by various facets, including country clusters, region and income level.
2010 Social Networking Map A great 2010 update from Flowtown’s Ethan Bloch of the (in)famous XKCD Map of Online Communities. Update: Or you might prefer your map horizontally …