1. science
2. geography
3. cartography

What is Gi4Housing?
“a forum for those already using or considering the
use off geographic
hi information
i f
ti for
f the
th b
built
ilt
environment”
Why?
ƒ Rationale…
ƒ Identified need
ƒ Desire
D i to
t share
h
iinformation
f
ti
ƒ Create a networking forum to share knowledge of the common
issues and provide appropriate solutions
Aims and Objectives
1.
To encourage new and existing users and develop an online resource
for people working in the world of housing or land and property
management.
2.
To promote best practice in the industry and to create a clear
business case for the use of GI within housing and associated fields.
fields
3.
To maintain an open forum for debate and discussion, run
independently and administered by people working in a similar
environment
What its not…
not
ƒ Gi4Housing is not vendor / software specific
ƒ Gi4Housing is not politically motivated
ƒ Gi4Housing is not a replacement helpdesk
An online resource…
resource
ƒ
Case Studies
ƒ
Directed information (e.g.
(e g best practice)
ƒ
Legislation
g
and g
guidance from governance
g
ƒ
Free and Open Source links
ƒ
Links to associated bodies and further information
Forum
ƒ Member login required
• Post requests
• Post useful information
• Maintain contact with colleagues
A forum for change
change…
ƒ Keep up to date with technology and policy changes
• Assess the impact of governance e.g. XB Homes
ƒ Links to, and with, other forums
• E.g.
E g Guardian “Free
Free our data”
data campaign
ƒ A point of contact to advance common requirements
• Feedback may be sent to vendors on identified issues as
appropriate
You decide…
decide
ƒ Gi4Housing will work better the more members contribute
• This is especially true where change is desired
ƒ Gi4Housing is your resource
• You will have the opportunity to decide what content is used
• Although moderated, the forum is moderated by GI users for GI
users
Any questions?
www.gi4housing.com
g ous g co
Purpose of the day
ƒ Look at the various uses of GIS within the Housing Sector
ƒ How different Organisations use GIS to tackle different problems
ƒ Structured
St t d approach
h to
t the
th day
d
What is GIS?
ƒ
Acronym for geographic information system. An integrated
collection of computer
p
hardware,, software and data used to
view and manage information about geographic places,
analyse spatial relationships, and model spatial processes. A
GIS provides a framework for gathering and organising
spatial data and related information so that it can be
displayed and analysed.
The components
of GIS
ƒ
Put simply this a computer system that allows anything with a
geographic element to be located within a map.
GIS for Housing
The use of GIS can help Housing Associations to:ƒ
Locate and understand land and property assets
ƒ
It enables the mapping of land transactions and licences
ƒ
Management of Grounds Maintenance contracts
ƒ
Enables the surveying of trees
ƒ
To establish boundary responsibilities
ƒ
Identify properties sold under the Right to Buy
ƒ
Identify development opportunities within existing land
portfolios
ƒ
Map arrears associated with properties
properties, empty properties
properties,
instances of anti-social behaviour, properties containing
asbestos
ƒ
Map anything with a geographic element, including people,
who can be associated with a property
Data
The most important element of any GIS system is the data
used to create the map. This is broken into two
classifications. The first of these can be termed “Base Data”.
This is your basic map data as found in road maps and
atlases or in Google
g Maps,
p but comes in a digital
g
format.
This data is supplied by Ordnance Survey.
The second form of data is created by the organisation.
organisation This
is personal to the company and is the element of the system
that provides value to the company.
Base Data – Raster data
ƒ
This data type is made up of pixels, like the picture on a
television screen. It is a static data type which means when
zooming in on a feature it loses its integrity.
An example of pixel distortion in
Raster Data
Base Data – Vector data
•
This data type is made up of Polygons (shapes / features),
Lines and Points. It is a dynamic dataset which means that it
retains its definition at any scale level. It also allows each
shape and line to be uniquely identified which means that
data about the feature to be stored against it, for example
address
dd
i f
information
ti can be
b help
h l against
i t points.
i t Mastermap
M t
i
is
an example of this of data type.
An example of Address
information held in Vector
Data
Base Data – Supporting
pp
g data sets
There are a number of Ordnance Survey supplied data sets
which add further clarity to the mapping environment. These
include Boundary Line which maps out counties, districts and
parishes. Meridian which shows transport features, urban
boundaries. Points of Interest which maps
p useful features
such as banks, schools and post offices etc.
Base Data - Aerial photography
Aerial photography can establish actual land use.
Licensing
Nick Macready
Senior Account Manager
Land & Property
Ordnance Survey
Ordnance
O
d
Survey
S
Licensing
i
i M
Model
d l
Gi4housing
g 2009
Nick Macready
y
Senior Account Manager – Land & Property
[email protected]
07885 719307
Mini Workshop
Ordnance Survey New Business Strategy
Goal 2 – Increase use or Ordnance Survey data
Shorter & easier Licences
Office of Government Computing – 10% Discount
OS MasterMap TOID density matrix update
All products via distribution – Role out
Data Sharing?
Group Licenses?
Anything else you wish me to champion?
Organisational data
This is the data which adds value to the system. It is this data
th t is
that
i about
b t the
th organisation
i ti as a whole
h l and
d may come from
f
different locations. For example data about land holdings is
held at the Land Registry, data about property condition or
asbestos held in Asset Management.
Management Information about
abo t
tenancies or people is held in the Housing Management
System. It is the combination of these various organisational
data sets that bring colour and meaning to the system.
system
Where is this Data?
Organisations generally hold different data in various
locations and departments.
departments For example:
ƒ
Property information held in the asset management or
surveyors department.
ƒ
Tenancy data held in the housing management system.
ƒ
Household composition held in spreadsheets or databases in
the customer services department.
ƒ
Downloaded census data from the internet.
internet
The best method to draw all these disparate
p
data sources
together is to create a “data warehouse” or central repository
which can then be exploited within the GIS environment.
Data Silos
Alex Hill
GIS Manager
Plus Dane Group
Breaking down the Silos!
Alexander Hill
4th November 2009
Agenda
•
•
•
•
Plus Dane Group
GIS us
usess att Plus Dane
D n
The silo effect
ff
How we can use GIS to breakdown
th silos
the
il
• Any questions?
Plus
lus Dane Group
• F
Formed
d by
b the
th merger of
f Plus
Pl Group
G
and
d
the Dane Housing Group
• Operates across Cheshire and
Merseyside
• Employees 450+
• Asset Value of £500m
£500m+
• Combined development fund in excess of
£210m
• Turnover of £45m+
The
he Silo Effect
““A lack
l k of
f communication and common
goals between departments
g
p
in an
organisation”
Wikipedia.com
The
he Silo Effect
• But even with
h a well
ll implemented
l
Housing
g system,
y
, information will still
exist elsewhere in separate
disconnected systems
The
he Silo Effect
• This
h creates the
h potentiall for:
f
– Inefficiencies
– Errors
– Lost Opportunities
pp
Why does this occur?
• Incompatibilities
l
with
h existing system
– Some data is jjust not suitable for direct
integration in a traditional housing information
system:
i.e. Grounds Maintenance, Land Terrier
• Additional modules can be costly
y
• User Ignorance
Information Silos can
be….
How do we break down
the Silos?
• Loaded Question!!
• 85 % of information in an organisation
has a geographic component
• GIS allows
ll
organisations
i ti
tto b
bring
i
together
g
materials stored in
disparate:
– Locations
L
– Applications
– File Formats
How do we break down
the Silos?
• Creates a centrall “Clearing
“ l
House””
– Maximises the benefits of the GIS
– Increases ROI
• GIS becomes a single interface.
interface
– Gives intuitive access in an easyeasy-to
to-use familiar
interface: a map!
– Turns data into knowledge
– Users can also see what part their data plays in
the overall picture
How do we break down
the Silos?
• Results:
l
• Time saved in requests
q
for information
• Potential savings in staffing costs
• Data can be retrieved q
quickly
y when it is
needed
Property
roperty Photos
hotos
• 16,000 Different
ff
Photographs
h
h
– Variety
y of
f views of
f each property
p p
y
– Collected for various Planned Maintenance
projects
Property
roperty Photos
hotos
• Before
f
GIS
–L
Largely
g y inaccessible
– Not widely used
Property
roperty Photos
hotos
• After
f
GIS
– All p
photographs
g p
now very
y easy
y to access by
y all
staff
– Gains in productivity – staff don’t need to visit
properties to answer simple
l questions
• Examples
–
–
–
–
Accessibility for Cherry Picker
Location of Central Heating Vents
Type of roof tiles
Location of Aerial etc etc…..
Development Data
• Monthly
hl Data on “state
“
of
f play”
l ” of
f
Dane Developments
p
held in Excel
Spreadsheet
• Emailed to certain staff only
Development Data
• Before
f
GIS
–D
Difficulties
ff
in interpreting
p
g the data
– Not widely accessed
Development Data
• After
f
GIS
– GIS brings
g data “to life”
f
• Data is combined with
–
–
–
–
–
Site plans
p
Building Layouts
Planning Applications
Decisions Notices
Site Photographs
Floor Plans
lans
• Paper copies only
l of
f floor
fl
plans
l
for
f
90% of properties
p p
Floor Plans
lans
• Before
f
GIS
–D
Difficult
ff
and p
potentially
y time
m consuming
m g
to relate to the correct property
– Not easily accessible
• Staff unaware of existence or their location
Floor Plans
lans
• After
f
GIS
–D
Data easily
y accessible
– More informed decisions can be made
Planned Maintenance
M
• Each
E h contract managed by a
supervisor
p
• Data held in Excel format
Planned Maintenance
M
• Before
f
GIS
–D
Data not accessible by
y all
– Comparison between different datasets
difficult
Planned
lanned Maintenance
• After
f
GIS
– More holistic p
picture available
– All departments can now easily discover
the properties on programmes
– More satisfactory information sharing
across departments and to residents.
residents
Any
A
Q
Questions?
ti
?
Summary
ƒ Data Types
ƒ Acquiring Data and Licensing issues
ƒ Organisational
O
i ti
l – Centric
C ti D
Data
t
ƒ “Data
Data Warehouse
Warehouse”
GIS for Housing
The use of GIS can help Housing Associations to:ƒ
Locate and understand land and property assets
ƒ
It enables the mapping of land transactions and licences
ƒ
Management of Grounds Maintenance contracts
ƒ
Enables the surveying of trees
ƒ
To establish boundary responsibilities
ƒ
Identify properties sold under the Right to Buy
ƒ
Identify development opportunities within existing land
portfolios
ƒ
Map arrears associated with properties
properties, empty properties
properties,
instances of anti-social behaviour, properties containing
asbestos
ƒ
Map anything with a geographic element, including people,
who can be associated with a property
GIS in Application
ƒ Mapping land ownership
ƒ Adopted Carriageways
ƒ Properties
P
ti and
dG
Gardens
d
ƒ Areas outside the garden gate
ƒ Providing a holistic view of the land portfolio and liabilities
GIS in Application
ƒ Applying GIS to assist in solving a problem
ƒ Many varied opportunities to use GI with the housing sector. A
common starting point is grounds maintenance.
ƒ A prime case for the use of GIS.
pp g g
geographic
g p
features that the company
p y is liable for
• Mapping
• Ease of management within the digital environment
• Simplification of dissemination of information to all
stakeholders
Starting Somewhere
Aaron Phillips
Housing Assistant
St Georges Community Housing
G I S Implementation
G.I.S
Aaron Phillips
g Community
y Housing
g
St Georges
SGCH
• ALMO formed from Basildon Councils Housing
section in 2006
• Audit Commission 2* organisation
• My
M b
background
k
d
Implementation
• G.I is a personal interest of mine
• Helped
H l d with
ith th
the original
i i l sett up off th
the application
li ti
• Created a garage lettings system with a Lotus
N t /O h d/GIS interface
Notes/Orchard/GIS
i t f
• Shows which garages are void, under offer, let
Garages
• First point of interest for the organisation is the
ability to see clusters of void garages
garages.
• Effective targeting of regeneration areas.
• Areas
A
off high
hi h demand
d
d
GARAGES TO BE DISPOSED OF
Garage Disposal
• As you can see from a single glance we can see
there are 23 empty garages in this area ready to be
disposed of.
• There are also 3 which are privately owned
owned, hence
the different colour.
• This will enable the relevant officer to search out
the owners of these garages so they can be
demolished and redeveloped.
Following on ….
• With positive monetary measurements in place (the
language of senior management)
• We can now propose new developments and have
started to implement the following:
Projects
• We have borrowed from Saxon Weald the idea
behind their arrears overlays.
overlays
• This is currently a trial run within SGCH.
• We
W are using
i th
the d
data
t tto pinpoint
i
i t arrear h
hotspots.
t
t
• If we can show there is a reasonable return on the
arrears collection,
ll ti
we can move onto
t newer shinier
hi i
projects!
GRADUATED ARREARS ‘HOTSPOT’ WORK
Value of the project
• Since implementation of the ‘hotspot’ work we have
delivered the following efficiencies:
• Arrears reduction of 147 tenancies in a period of 9
weeks
• Targeted arrears campaigns
The future…
future
• Direct Debit Uptake Campaign
• Method
M th d off Payment
P
t
• Indices of deprivation – working together with the
L
Local
l St
Strategic
t i Partnership
P t
hi
• Customer Profiling
• Areas of crime
Questions?
GIS in Application
ƒ Legislation Change
ƒ Applying the principles of GIS to provide the solution to a
problem
ƒ Not limited to the desktop
ƒ The use of GI mitigates the risk to the company and its assets
ƒ Can provide efficiencies and savings
GIS in the Field
Micky Seaton
Arboriculturalist
Connick Tree Care
Tree Management and GIS
within the field
Micky Seaton
Arboriculturalist – Connick Tree Care
The Initial problem
– Duty of care
– Change
g of legalisation
g
• Corporate manslaughter and corporate homicide
ACT - 2007
– Knowledge of your tree portfolio
– Control of budget issues
– Being proactive
Identifying a Solution
– Choosing to use GIS to survey trees
– Trimble / sub-meterage
g GPS enabled
Handheld PDA
– Design and creation of an appropriate and
simple database
– Important for client to understand what trees
are in high, medium or low risk areas
Initial Set up
• Equipment setup
– Designing
g g the data capture
p
to suit the needs
of the survey
– Database design
– Loading OS and Saxon Weald Map Data
Surveying
– Methodical approach
• Split into appropriate areas and creating maps
– Visiting each scheme and capturing data in
the field
Results
– Comprehensive knowledge of tree portfolio
– Mitigation
g
of risk
– Detailed report of works required divided into
high, medium and low risk
– Schedule of rates (Matrix)
– Instantly extrapolate the costs involved
– Creation of Programme of works
Questions?
GIS in Application
ƒ Not limited to mapping land
ƒ What about properties?
ƒ NROSH / RSR
ƒ Asbestos
ƒ Property Attributes
ƒ Programmed
g
Maintenance
Asbestos
Asset Management
Matt O’Keeffe
GIS Officer
Somer Community Housing Trust
© Crown Copyright 2009.
All rights reserved.
Ordnance Survey licence
number 0100031184.
Asset Management
Asset Management
Points hold information
about the property.
Points can be
interrogated to reveal
the lead tenant name,
address, property
type, number of
bedrooms.
Any information from a
back office system can
be appended to the
location point.
Asset Management
Indicative boundaries for
each property can also be
created to help
p us to
understand the extent of
our area of responsibility.
Boundary areas also
contain the same
information about the
property as held in the
points.
Updates
U
d t run every night
i ht
to keep the data current.
Asset Management
Because each boundary
and point contains
information about the
current tenant, we can
identify properties which
are currently empty.
Void properties are shown
in blue. This approach
can help to identify
patterns which were
otherwise hidden in a
spreadsheet
d h t or d
database.
t b
Asset Management
SCHT stock is divided across
15 Better Spaces
Neighbourhoods with roughly
600 properties in each
each.
This allows us to analyse the
stock at a more general level
and can reveal areas with high
turnover, high rent arrears
levels, instances of ASB, repairs
costs,
t transfer
t
f requests
t or any
other information attached to
property in Orchard.
External ONS and Census statistics can also be linked to the Neighbourhoods
to give us a better understanding of the demographics in each area.
Asset Management
Bath city centre neighbourhoods
coloured up to show levels of
voids in each neighbourhood’s
properties.
The neighbourhood of Western
Bath has the highest
g
p
percentage
g
of voids in the Trust’s property
portfolio.
Asset Management
Bath city centre neighbourhoods
coloured up to show levels of
voids in each neighbourhood’s
properties.
The neighbourhood of Western
Bath has the highest
g
p
percentage
g
of voids in the Trust’s property
portfolio.
The property points can be added
to the map to show void
properties as red points and those
with a tenant as green.
Asset Management
Bath city centre neighbourhoods
coloured up to show levels of
voids in each neighbourhood’s
properties.
The neighbourhood of Western
Bath has the highest
g
p
percentage
g
of voids in the Trust’s property
portfolio.
The property points can be added
to the map to show void
properties as red points and those
with a tenant as green.
And filtered to only show voids.
Asset Management
Properties with an instance of
ASB in the Housing Management
System.
Asset Management
Properties with an instance of
ASB in the Housing Management
System.
Real clusters or hotspots can be
difficult to identify because of the
nature of the GIS data.
Overlapping points in blocks for
flats, for example.
The points can be analysed
further using software to clearly
show areas where there are ASB
properties in close proximity.
Asset Management
Properties with an instance of
ASB in the Housing Management
System.
Real clusters or hotspots can be
difficult to identify because of the
nature of the GIS data.
Overlapping points in blocks for
flats, for example.
The points can be analysed
further using software to clearly
show areas where there are ASB
properties in close proximity.
And combined with voids.
Asset Management
GIS data can be
viewed anyy on PC,
laptop and terminal
via an interactive
map site available on
the intranet.
Somer Maps can
deliver many forms of
internal and external
information through
one,, easyy to use web
browser.
Asset Management
The SMaRT (Somer
Monitoring and
Reporting Tool),
allows staff to view
voids, repairs,
arrears and turnover
statistics.
The tool can create
tables and graphs
but also maps
showing performance
at individual property
p p y
or neighbourhood
level.
Asset Management
Users can drill down
to p
property
p y level and
interrogate the data
to reveal the total
cost of repairs at
each property in the
past twelve months.
Data is held in
monthly snapshots
for ten different
p
performance
indicators.
Asset Management
GIS data can also be viewed via a series of
tables and graphs
graphs.
Here the average
g cost of repairs
p
p
per
property has been broken down by the 15
neighbourhoods.
Managers and staff have quick access to
statistics held in the back office systems
which are simple to understand.
Asset Management
Historic information can also be viewed on
graphs or maps
maps.
Average cost of repairs per property in the
South Twerton neighbourhood are shown.
The repairs team use this information to
analyse changing patterns of cost over time.
Asset Management
Other Uses
Asset Management
Building footprint for all
two storey houses
populated in the ECMK
Asset Management
system replacing the
existing approximate
measurements.
measurements
The building footprint was
automatically calculated
f 3
for
3,000
000 properties
ti using
i
the area from Ordnance
Survey MasterMap.
Average SAP rating for
Trust stock increased from
66.2 to 68.1.
Asset Management
Property details imported to
GIS in order to visualise the
progress of the ‘Ten Year Plan’,
a commitment to invest in
maintenance and
refurbishment of Trust
properties after the stock
transfer in 1999.
£154 million spent so far.
Project has presented
opportunity to use GIS to
schedule p
planned maintenance
by area using date from ECMK
Integrator.
Asset Management
The Future…
&
Questions?
Return on Investment
ƒ Using GIS to provide efficiencies in service delivery
• Internal and External Customers
ƒ Cashable Savings
ƒ Financial “Non” Financial Savings
• Gershon Principles
Service Charges and GIS
Justin Chamberlin
GIS Manager
Saxon Weald
Geographical Information Systems
(GIS) at Saxon Weald
Calculating Service Charges
Service Charges:
g
The Initial Problem
•
Understanding how geography links to Service Charges
•
Identifying which elements of the Service Charge can be calculated
using GIS
•
Process Mapping the methodology
•
C biliti / Li
Capabilities
Limits
it off H
Housing
i M
Managementt SSystem
t
Identifying
y g a Solution
•
Harnessing the existing GIS Grounds Maintenance Data
•
Creation of Estate Codes within the Service Charge module of the
Housing Management System
• Reference to geographical location of properties and
blocks within Estates
Estate defined without reference to geography
Flat
Blocks
Estate split on an arbitrary line
Blocks in correspondence to geography
Estate defined with reference to geography
Identifying
y g a Solution
•
Creation of coding structure to reflect where estates sit within a
street
•
Importing codes into GIS to correspond to Grounds Maintenance
polygons
l
Corresponding Codes in both Grounds Maintenance
and Estate layers
Estate and Grounds
Maintenance Layers
Synchronised
The Results
•
Creation of Estate Codes held in both GIS and Housing Management
System
•
Provides the means to capture costs associated with Estate Codes
•
Creation of a “loader” for the apportionment of costs with Housing
Management System
•
Allows the recovery of Grounds maintenance costs to be recovered
on a transparent basis.
Street and Block linked Estate Codes,
correspond to the Estate IN The GIS
Benefits
•
Improved data quality
•
Transparent charging of Estate costs to residents
•
Staff time savings Improved grounds maintenance administration and
management
•
Improved Service Charge administration and management
•
Allows for business processes to be analysed in a “Lean” manner and
make
k appropriate
i t costt savings
i
•
Corporate buy in
Return on Investment
•
Sav gs in staff
Savings
sta ttimee for
o Annual
ua Se
Service
v ce C
Charge
a ge ca
calculation
cu at o and
a query
que y
resolution.
• Over a 2 month period when calculating grounds maintenance
service charge costs and answering resulting queries £4000 of staff
ti
time
saved.
d Over
O
a year equates
t to
t around
d to
t £25000
•
Overall understanding of our liabilities from central office / facilitates
service
i d
delivery
li
and
d ffulfilment
lfil
t off commitments
it
t tto residents
id t
Customer Insight
g – Mapping
pp g People
p
“Map anything with a geographic element, including people
who can be associated with a property.”
GIS isn’t limited to mapping solely geographic features.
Anything that can be associated with a static feature can be
mapped. Therefore, people and information associated with
the residents of a neighbourhood can be displayed within the
GIS environment. Providing a graphic profile of the human
composition of a specific area.
Correlating Housing Data
High Void Turn Around Time
The correlation of the
High Void Turn Around
Time along with the
Disabled Adaptation
justifies the Void period
Correlating People Data
The correlation of these three datasets
demonstrates that these individuals fit within three
distinct categories and provide some interesting
results. More elderly residents, with Physical
Disabilities or Long Term Illness, but in
Employment
Extending GIS
Alex Hill
GIS Manager
Plus Dane Group
Neogeography and Housing
Alexander Hill
4th November 2009
Agenda
• What is Neogeography then?
• Examples
p
of Neogeography
g g p y in use
• Some ideas on how we could apply
Neogeography techniques.
techniques
• Any
y questions?
q
What is Neogeography then?
Si
Simply…
l
New Geography
A term that has
been around
since the 1920’s
No precise definition
…even Wikipedia
p
struggles.
gg
“the usage of geographical techniques and tools used
for personal and community activities or for utilisation
by a nonnon-expert group of users”
Wikipedia
Neogeography is associated with…
User generated
content
M
Mash
h ups
Slippy Maps
The growth in Neogeography has
been caused by…
by
Google
g Maps
p
Cheaper
Ch
bandwidth
C
Consumer
GPS
Neogeography and GIS are very
different!
GIS is…
A
Accurate
Analytical
y
Complex
l
P
Precise
i
Formal
Neogeography is…
U
User
centric
i
In precise
Easy to use
Can be
informal
Andrew Turner
(Evangelistic Neogeographer)
“How
Neogeography
killed GIS”
Neogeography
g g p y is everywhere
y
Crime
m stats in your
y
neighbourhood
g
Finding
g local amenities
m
Walking
g or Cycling
y
g paths
p
Finding
g a new place
p
to live
Traffic
ff Conditions
Etc
Etc…
So, how can we use this
Neogeography stuff then....?
Before y
you rush back to the office
to create your mashups…
… y
you have to consider licence
implications
Can’t simply
p y overlay
y OS derived data
onto Google maps!
But luckily
y there is a Neogeography
g g p y
app for that!
Postcodes collected
46,374
Out of 1.7 million
Prefixes collected: 2948
Prefixes liberated: 100%
Sectors collected: 8788
Sectors liberated: 98%
But I need precision….!
N
Not always……
l
Property finder type applications
Post Code sector will do.
do
Geocode against NPEM
+
Google
g Maps
p API
=
N
Neogeography
h App
Thematic mapping
pp g made easy
y
Plug and play maps and Google API
Inform customers of
Planned Maintenance Schedules
C t
Customer
Involvement
I
l
t llocations
ti
KPI’s by Neighbourhoods
Grounds Maintenance Schedules
OpenStreetMap
Using a sense of place to
d fi
define
an area….
Alex Hill
(GIS Manager)
“ GIS isn’t dead
(yet) ”
We still need GIS for
PRECISION & ANALYSIS
Grounds Maintenance
Land Terrier
Geocoding
Nick you still
have a job.
job
Any
A
Q
Questions?
ti
?
A Questions?
Any
Q
ti
?
Don’t forget to register for Gi4Housing
at www.Gi4housing.com
www Gi4housing com