Series
- Using R (21)
- Using WordPress (3)
-
Recent Posts
- PWFSLSmoke 1.0: Visualizing Wildfire Smoke Data
- Improved Python-style Logging in R
- Introducing the PWFSLSmoke Package
- Python-style Logging in R
- When k-means Clustering Fails
- Visualizing Bikeshare Data
- Function Argument Lists and missing()
- MazamaSpatialUtils — Ebola Map Example
- Installing subversion 1.7.10 on OSX Yosemite
- MazamaSpatialUtils Package
Blogroll
Tags
AirFire AQI Babel BeautifulSoup best practices C CentOS CSV Data.gov disk I/O error handling FIPS GIS HTML i18n ISO javascript jquery KML LaTex logging Mac MacPorts metadata MS Excel netcdf OSX plone PM2.5 PWFSL python R R package shapefile smoke spatial standards Subversion Ubuntu Unix USGS validation VMware WordPress XML
Tag Archives: validation
Data Management Questionnaire
Sometimes merely filling out a questionnaire can cause you to think about problems in a new way. When asked to answer a question that has never occurred to you before, you may find yourself reevaluating some of your core assumptions … read more …
Zero vs. Missing
On the left we have zero, our integer measure of nothingness. On the right we have missing value, aka N/A, aka NA, our signal that the value of a datapoint is unknown. Everyone who deals with data has to deal … read more …
Posted in Data Management
Tagged CSV, MS Excel, R, USGS, validation
Comments Off on Zero vs. Missing
Standard Latitudes and Longitudes
What? Where? When? These are key questions that every scientist or other collector of data must answer. What is the value of the thing we are measuring? Where are we taking the measurement? When are we taking the measurement? In … read more …
Posted in Data Management
Tagged ISO, KML, standards, validation, XML
Comments Off on Standard Latitudes and Longitudes