GGRA30H3 Lecture Notes - Lecture 3: Killer Application, Qualitative Property, Logical Reasoning
Document Summary
Recap from last week : gis: more than a killer app, different applications of gis, points, lines and polygons, empirical methods/evidences, logical reasoning (deductive, inductive and abductive) Data: phenomena are all the stuff in the real world. Data are records of observations of phenomena: qualitative data: only operations we can perform with such data are counts and proportions" Observed but not measured: quantitative data: deals with numbers. Can be measured (i. e. temperature, height, age etc. ) Frequency table for quantitative data: numerical, think of grades. Normally values grouped into classes: mutually exclusive: data falls only in one class, mutually exhaustive- all data represented. Variables: likely to change (how you ask questions can change the answers you get, data are the answers. Empirical evidence & scientific methods: empirical evidence. An information acquired through observation and experimentation: scientific methods: All evidences empirical or at least empirically based. Scientific process: question, potential answer (hypothesis, experimentation, observation, analysis, conclusion.
