EAS221 Study Guide - Quiz Guide: Sharpening, Central Tendency, Median Filter

• School: University of Alberta
• Department: Earth and Atmospheric Sciences
• Course: EAS221
• Professor: Alberto Reyes

Document Summary

Files: spatial analyst tool box has most of the raster analysis tools, multiple file formats are supported but some require grid format. Data type: grid format supports integer raster or floating point raster. Logical operators: boolean, and, or, not, true or false. Arithmetic operators: multiply, divide, add, subtract, etc: map alge(cid:271)(cid:396)a: si(cid:373)ila(cid:396) to (cid:862) ele(cid:272)t (cid:271)y att(cid:396)i(cid:271)ute(cid:863) used (cid:449)ith (cid:448)e(cid:272)to(cid:396) data, ex. in_grid x 3. 14, nd = no data =/= 0 (kind of like a null value) Overlay operators: logical or arithmetic operators on multiple datasets: map algebra: use arithmetic expressions and functions to calculate values of an output raster from values of input rasters. Raster reclassification: reclassify or change raster cell value, either individually or based on ranges (ex. in lab 8, reclassifying contamination levels, emergency service density and park proximity into 5 classes to standardize across these individual suitability rasters) Create common scales for ranking (lab 8) Local: operation is cell by cell, single-cell only.