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18-Geom-A7 Geospatial Information Systems · May 2017

Question 7 of 15: From spatial data to decision-making

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Exams — May 2017 — 04-Geom-A7 Geospatial Information Systems. Closed-book; any non-communicating calculator permitted. Format: fifteen questions of varied value totalling 100 marks; fifteen questions constitute a complete paper and all fifteen are solved in full below. Most answers are required in essay form. Datum and coordinate conventions follow the Canadian spatial reference framework — NAD83(CSRS) horizontally and CGVD2013 vertically.

Reference texts: P. A. Longley, M. F. Goodchild, D. J. Maguire & D. W. Rhind, Geographic Information Systems and Science (4th ed., Wiley, 2015); P. Bolstad, GIS Fundamentals: A First Text on Geographic Information Systems (6th ed., XanEdu, 2019); P. A. Burrough, R. A. McDonnell & C. D. Lloyd, Principles of Geographical Information Systems (3rd ed., Oxford, 2015); M. Worboys & M. Duckham, GIS: A Computing Perspective (2nd ed., CRC, 2004); H. Samet, The Design and Analysis of Spatial Data Structures (Addison-Wesley, 1990); ISO 19115 Geographic information — Metadata.

Question 7: From spatial data to decision-making (10 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

These four stages form the spatial version of the data–information–knowledge–decision hierarchy; each stage adds context and value to the one below it.

Spatial data raw georeferenced facts (where/what) Spatial information processed & in context (organized) Spatial knowledge patterns, rules, understanding (why) Decision- making action / policy (so what)
Figure — the spatial data → information → knowledge → decision hierarchy; each step transforms the previous through processing, interpretation and judgement.

(a) Spatial data are the raw, georeferenced facts: measured coordinates, observations, imagery cells and attribute values, captured by survey, GNSS, remote sensing or digitizing. On their own they are unorganized and carry no meaning beyond "a value at a place." (b) Spatial information is produced when spatial data are processed, structured and placed in context — cleaned, classified, overlaid, summarized or mapped — so that they answer explicit what/where questions (e.g., turning elevation points into a slope map, or address records into a density map). Information is data made meaningful and relevant. (c) Spatial knowledge emerges when information is interpreted and generalized: recognizing patterns, relationships, trends and rules across the information, and understanding why they occur (e.g., "landslides concentrate on steep, wet, deforested slopes"). Knowledge combines spatial information with expertise and models to explain and predict. (d) Decision-making applies that knowledge to choose an action or policy under objectives and constraints — selecting a site, allocating resources, issuing a zoning rule — often supported by spatial decision-support and multi-criteria analysis. The chain therefore moves from measurement (data), to meaning (information), to understanding (knowledge), to action (decision), with a GIS providing the processing and analysis that drives each transition, and monitoring feeding new data back in.