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Visualization of Soil PropertiesAdditional Example Using Lattice GraphicsSubmitted by dylan on Mon, 2007-12-03 06:51.
Examples with Some Real Data
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Soil Color IdeasSubmitted by dylan on Thu, 2007-09-27 17:36.
PremiseSoil color generally varies in a predictable pattern with depth according to surface vegetation, clay mineralogy and parent material. Highly contrasting parent geology influences soil color within Pinnacles via four main processes:
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Accessing PINN Soils Data in Google EarthSubmitted by dylan on Wed, 2007-01-17 23:28.
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Images from Pinnacles Soil Profile AnalysisSubmitted by dylan on Wed, 2006-11-01 16:14.
Misc. scanned images from work at the Pinnacles National Monument, in collaboration with the NRCS and NPS. These images are the prototypes for many of the new educational materials being developed for the visitor's center and online interface to soils information. Over 300 pit descriptions were collected by NRCS staff and myself, and are currently being digitized with our own pedon management system, PedLogic. Numerous techniques for the automation of soil survey operation, digitial soil mapping, and field assistance are currently in development. Many of the detailed features which will not appear in the final soil survey product will be featured in bulletins written up for the PINN interpretive staff. It is our goal to assist the park staff in communicating the importance of soil resources as the active junction between the biosphere and the lithosphere. GIS tools used include: GRASS, PostGIS, R, GMT, and many others. A digital version of the pedon description form illustrates some of the visualization capabilities of PedLogic. ( categories: )
Cluster Analysis 2: hierarchical clustering approach to a multivariate datasetSubmitted by dylan on Fri, 2006-03-10 01:21.
Hierarchical clustering methods can be used to create a series of nested groupings of data based on the interplay between variables associated with an observation. ( categories: )
Convert Munsell colors to computer-friendly RGB tripletsSubmitted by dylan on Fri, 2006-03-03 00:08.
The Munsell color system was designed as a series of discrete color chips which closely approximation to the color sensitivity of the human eye. The description of color via three variables tied to perceptible properties (hue, value, and chroma) under a standardized illuminant (sunlight on a clear day) makes the Munsell system a good choice for recording and interpreting soil color data. However, numerical analysis of colors encoded in the Munsell system is difficult because they are from a discrete set of color chips and referenced by values that include both letters and numbers. Rossel et. al. (2006) give a good background on various color space models and their relative usefulness in the realm of soil science. The conversion of Munsell soil colors to RGB triplets, suitable for displaying on a computer screen or printing, is made complicated by the numerous operations involved in converting between color spaces. Figure 1 shows all possible (both real and unreal) Munsell color chips in the L*U*V color space. Figure 2 shows some of the common soil color chips in the same color space. Figures 2 through 5 depict common soil colors in the RGB color space, visualized both in R and POVRAY. Example R code on the conversion is given below. ( categories: )
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