GEOB 270 Lecture Notes - Lecture 18: Proprietary Software, Empiricism, Google Maps

• School: UBC
• Department: Geographical Biogeosciences
• Course: GEOB 270
• Professor: Samuel Walker

Document Summary

Accuracy: how close to actual value we can get (cid:862)hitti(cid:374)g the (cid:272)e(cid:374)ter of the (cid:271)ullse(cid:455)e(cid:863) Precision: how precisely we measure the value: error vs bias (cid:862)the (cid:272)luster (cid:449)ithi(cid:374) the (cid:271)ullse(cid:455)e(cid:863) Error: a(cid:374)(cid:455) sort of (cid:448)ariatio(cid:374) fro(cid:373) realit(cid:455) that(cid:859)s re(cid:272)orded i(cid:374) data. Systematic error: resolution versus generalization i. e: incorrectly calibrated instruments. Resolution: how many points you can gather. Choice of what to leave on or take off the map: for legibility reasons, completeness, compatibility, consistency, applicability. Sources of error in gis: modeling reality. Some degree of error due to simplification: source data, editing and conversion, processing and analysis. Instead of single line, introduce a boundary: monte carlo simulation. Process of introducing random data into analysis. Multiple runnings with new sets: shows range of values generated from analysis. Responsibility: all gis analysis has some purpose. To be secure in argument, you will be held accountable to the procedures you use. Can they be trusted: mutual trust requiring some degree of shared values.