Benefits of Presenting Statistical Information in a Geospatial Context Presented by: Matt Wootton Ministry of Agriculture and Forestry New Zealand Conference on Climate Change, Development and Official Statistics Seoul, Republic of Korea, 11-12 December 2008
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Benefits of Presenting Statistical Information in a Geospatial Context Presented by: Matt Wootton Ministry of Agriculture and Forestry New Zealand Conference.
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Benefits of PresentingStatistical Information in a
Geospatial Context
Presented by: Matt WoottonMinistry of Agriculture and Forestry
New Zealand
Conference on Climate Change, Development and Official StatisticsSeoul, Republic of Korea,
11-12 December 2008
How
Why
What
WhoWhen
Where
•Geographic Information System(GIS) usage at the Ministry of Agriculture and Forestry(MAF)
• Building Spatial Data
• Sector-specific statistics used at MAF
• Sample Spatial Analysis
Presentation OverviewPresentation Overview
•Structure
•GIS Responsibilities at MAF
•GIS Focal Points at MAF
GIS @ MAFGIS @ MAF
Spatial DataSpatial Data
•Does breakdown of land match scale of statistics?
Data Building – Issues and OpportunitiesData Building – Issues and Opportunities
Soil TypezKe 20 HazTo 25 HazKw 55 Ha
•Do tabular attributes link to spatial layer’s attributes?
•Existing spatial layer that properly represents your data? (i.e. matching log export statistics to a specific port or region)
•Add attributes to data from spatial data based on location?
Example 1a: Using agricultural statistics to calculate stock unit density...
StatisticsStatistics
5.0 Stock Units per Ha
Farm Area in Ha Stock Units
A 200 1,000
B 400 1,000
C 400 3,000
1,000 5,0001,000 5,000
55 1,000 5,0001,000 5,000
Example 1b: Using agricultural statistics in a GIS to calculate stock unit density…
Statistics in a GISStatistics in a GIS
7.1 Stock Units per Ha
7.17.1 700 5,000700 5,000
Basic Point Data – what you can do withBasic Point Data – what you can do witha set of numbersa set of numbers
Weather Data
•Widely used
•Well funded and valued
•Generally understood
Basic Point Data – how Basic Point Data – how far can you take it?far can you take it?
•Location of the weather stations
•Apply a colour scheme
•Interpolate results/create surface
Soil Moisture Deficit/Drought in New ZealandSoil Moisture Deficit/Drought in New Zealand
Points to consider…
Data IssuesData Issues
•Time Series Data - backwards compatibility
•Continuous/Discrete Data - when to use which type?
•Metadata
Sector Based Statistics Sector Based Statistics in New Zealandin New Zealand
Agriculture Production Survey/CensusAgriculture Production Survey/Census