Master Input Data List
The GIS datasets required for the
strategy are address, administrative boundaries, planning zones, property and
transportation network. The non-spatial data required are population, income
and employment status data and table of community service facilities (e.g.
clinics). The address dataset would be utilized to geocode address of community
service facilities and population characteristics data. Administrative
boundaries dataset would be used in defining the council area and linking
population data to census collection districts (CCD).
Planning dataset shows planning
polygons as this would be important in determination of future housing areas.
Property dataset shows the location of parcels and its attributes and would be
used in determination of number of residential lots could be impacted in this
strategy. The tables of population characteristics and facilities would be
utilized to assess the level of accessibility to facilities.
I shall examine address dataset in depth.
The reason I chose this dataset is because it underpins the success of strategy
and hub of connecting of non-spatial data and GIS datasets. Tables containing
facility data and population characteristics are geocoded into the address
dataset. This geocoded facilities/population data would work together with
other datasets in the various geoprocessing methods.
Data identification Items:
1) Dataset
Name: VicMap Address
(a) Identification
No: ANZVI0803002578
(b) Source/Custodian:
Department of Sustainability & Environment (DSE)
(c) Metadata:
Spatial Extent- 34.0S-39.2S,
141E-150.2E. Spatial Reference-
GDA94. Positional accuracy- 90% of
features are within 1mm at plot scale, of true position (5-25m). Attribute accuracy-1%-5% allowable
error. Logical Consistency-1%-5%
allowable error. Currency- 2012(time
of writing)
Data Volume:
(a) Volume:124MB
(b) Format
available: ESRI, MapInfo, DXF,DWG
Data Characteristics
Datasets available are in the ESRI
shapefiles. Below here are the fields of address dataset will be used. Minimum
spatial extent for the project is 144.963 E to 145.045 E and 37.777 S to 37.835
S.
Fields
|
Data Type
|
Name
|
Length
|
Allow Null Values
|
FID
|
Object ID
|
FID
|
-
|
No
|
Shape
|
Geometry
|
Shape
|
-
|
-
|
LGA_CODE
|
String
|
LGA_CODE
|
3
|
Yes
|
GEO_ADD
|
String
|
GEO_ADD
|
45
|
Yes
|
EZI_ADD
|
String
|
EZI_ADD
|
80
|
Yes
|
Source Data Availability
City Council is able to access the
dataset required from DSE and it is fully in digital format (e.g. shapefiles).
Restrictions
No restrictions/royalties placed on the
usage of datasets as this for council use (non-profit).
Part 5: http://daneshatlas.blogspot.com/2013/11/implementing-gis-to-tackle-local_24.html
Part 5: http://daneshatlas.blogspot.com/2013/11/implementing-gis-to-tackle-local_24.html
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