In this exercise we went through virtual training on ESRI's virtual campus. In this training course, we learned how to:
- Utilize the Spatial Statistics Toolbox and Geostatistical Analyst Extension.
- Recognize what questions need to be asked about your data before choosing an analysis tool.
- Calculate the Mean Center, Median Center, and Directional Distribution of a dataset.
- Examine the Spatial Distribution of your dataset and identify clusters and spatial relationships in the data.
- Bring up a Histogram and Normal QQ Plot, how to interpret them, as well as understand the properties of a normally distributed dataset.
- Find outliers in your data using a Histogram, Normal QQ Plot, Semivariogram Cloud, and Voronoi map.
- Use Trend Analysis graphs to identify patterns in your data.
- And to assess which analysis tools are appropriate to use with the given spatial distribution and values of your data.
My Map
Map Overview
This map was made through ArcMap with the data we downloaded from ESRI's virtual training course. It was our base map for the various exercises we performed throughout the training course. This particular map was made in the beginning of the training course and was made for the purpose of locating the mean center, median center, and directional distribution of weather stations in Europe. We used the Spatial Statistics tool in order to find these values. Our goal at the end was to determine which areas of Europe should be put under a freeze advisory, based off of the temperature data collected.
No comments:
Post a Comment