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

•Includes Agriculture and Forestry sectors

•Government funded product

•Data collection

•Levels of Geography

•Data Suppression

http://www.stats.govt.nz/datasets/primary-production/agriculture-production.htm

National Exotic Forest DescriptionNational Exotic Forest Description

•What is it?

•Data Collection

•Highly valued

•Usage

•Government funded product

Sample Analysis:Sample Analysis:Land Use ChangeLand Use Change

•Land Resource Inventory

•Agribase

•Land Cover Database 2

•Excluded lands–Department of Conservation–Forested lands (2 types)

Statistics/Data used in sample analysisStatistics/Data used in sample analysis

Land Resource Inventory…•Three main data themes

–vegetation –land use capability–Soil (permeability shown)

Data used in sample analysis –Data used in sample analysis – Land Resource Inventory Land Resource Inventory

LUC classes 1 to 5

-flat to gradually sloping land

-highly productive soil

(orange areas)

Agribase…•Commercial product

•Contains contact info, farm type, stock numbers, farm composition

Statistics used in sample analysis –Statistics used in sample analysis – Agribase Agribase

Farm types not suitable for

expansion were excluded.

(fish farms, vineyards, zoos)

(purple areas)

Data used in sample analysis –Data used in sample analysis – Land Cover Database 2 Land Cover Database 2

Land Cover Database 2•Classifications based on 2001-2003 Landsat 7

•National coverage

•Highly used/valued data layer in NZ

Ensure all suitable lands included -all low and high production grasslandswere added (yellow areas)

Data used in sample analysis –Data used in sample analysis – Screening Layers Screening Layers

•Department of Conservation

•Indigenous Forest

•Exotic Forest

DoC, indigenous and exoticforest lands were eliminatedfrom selection (green areas)

Native forest - off limits to development

Refuges, stewardships, covenants, parks

Predominantly Radiata Pine for harvest

Data used in sample analysis –Data used in sample analysis – Processing Processing

•Isolate suitable parcels

•Intersect suitable lands with land parcels

•Randomly select parcels throughout NZ untilthreshold value is reached

•Remove land parcels currently in the expanding land use type

Economic Drivers

Environmental Considerations

Social Factors

Farming Operation GrowthFarming Operation Growthfor a Given Scenariofor a Given Scenario

Statistics within a GIS adds value

Data linkages, visual clarity

Provides versatility

SummarySummary

Thank you

Questions?matt.wootton@maf.govt.nz