SDI Convergence - Global Spatial Data Infrastructure Association

More documents

Recommendations

Info

Figure 2: Conceptual framework: Applying hierarchical spatial theory. Local Level State Level National Level Sub Catchment Catchment Basin Farm Sharing of Spatial Data CATCHMENT MANAGEMENT (CM) CM Authority Basin SDI or NSDI/Regional SDI Natural Resource Management Works for Ecological Sustainability Sub-CM Authority Land Owners Catchment SDI Sharing of Catchment Data Sub-Catchment SDI Sharing Water, Land, Nature Data Farm SDI Sharing of Property Data SUSTAINABLE DEVELOPMENT National Government State Government Local Government The emergence of catchment management authorities to facilitate improved local and regional outcomes for natural resource management now also introduces a multijurisdictional level of activity involving many stakeholders. Australia, like the USA, is a federation of states and understands the complexities of sharing and managing spatial data across three tiers of government. SDI development in Australia has been significantly constrained by these traditional jurisdictional structures which continue to slow our progress. Therefore, to support initiatives such as catchment management, it is important that new frameworks be examined which may facilitate improved SDI development at the catchment level. The proposed framework modelled on the hierarchical spatial theory has a number of strengths and limitations. Firstly, if we examine the strengths of the proposed framework, we already know and understand the many formal and informal hierarchical structures and processes exist within a catchment environment. These structures and processes enable the modelling of responsibilities and hence potential data flows. For example, hierarchies of catchment SDI already fit nicely with existing management groups such as land care, farming groups and catchment management authorities. Secondly, stakeholders interact in a hierarchical fashion in many instances in line with existing institutional arrangements. Finally, the catchment authority’s goals are often aligned to government priorities/goals and therefore a hierarchical framework is perhaps appropriate. However, the framework also has a number of potential weaknesses. Perhaps the most obvious of these is the complex and large number of levels and crossjurisdictional linkages which have the potential to dilute information flows and create Hierarchical Spatial Theory 273
institutional complexities. This is particularly evident where the hierarchy in catchment SDI and administrative/political SDI do not align. 5. CASE STUDY The purpose of this case study is to examine the proposed conceptual framework in the context of an operational catchment environment. The case study to be examined is the Murray-Darling Basin (MDB) which is an area of national significance for social, cultural, economic and environmental reasons in Australia. Administratively, the MDB falls under the four state government jurisdictions, namely Queensland, Victoria, New South Wales, South Australia and one territory, the Australian Capital Territory as shown in Figure 3. It includes the catchment of Australia's three longest rivers, the Darling (2,740 km), Murray (2,530 km) and Murrumbidgee (1,690 km) and their many tributaries (Australian Bureau of Statistics 2008). Both the MDB community and governments are partners in protecting the health and productivity of the MDB. 274 Figure 3: Case study area (Murray-Darling Basin Authority (MDBA)).
Page 1 and 2:
GSDI Global Spatial Data Infrastruc
Page 4 and 5:
SDI Convergence Research, Emerging
Page 6 and 7:
Table of Contents Foreword vii Peer
Page 8 and 9:
Foreword This book is the result of
Page 10 and 11:
Spatial Data Infrastructure Converg
Page 12 and 13:
SDIs are not for free, and thus nee
Page 14 and 15:
gional level specific and complete
Page 16:
management issues. They do not foll
Page 19 and 20:
esses (scenario 5b in Figure 1) req
Page 21 and 22:
implements the SDI concept. INSPIRE
Page 23 and 24:
cluded. Map functions refer to pop-
Page 25 and 26:
The toolbar at the top of the map a
Page 27 and 28:
18 Figure 5: Technical implementati
Page 30 and 31:
Development and Deployment of a Ser
Page 32 and 33:
the development of the services off
Page 34 and 35:
Web Applications Services Aplicatio
Page 36 and 37:
Figure 2: ISO 19119 elements for se
Page 38 and 39:
means of their capabilities informa
Page 40 and 41:
- Column Nr_dc (and its associated
Page 42:
Nebert D., Whiteside A. and P. Vret
Page 45 and 46:
of the four essential parts of a su
Page 47 and 48:
2.1.2 ICT standards web services Fo
Page 49 and 50:
model (see Figure 3). The four comp
Page 51 and 52:
4. FINANCIAL MODELS 4.1 Cost models
Page 53 and 54:
5. Hybrid models: These are models
Page 55 and 56:
4.4 Price strategies Apart from the
Page 57 and 58:
6. CONCLUSIONS AND RECOMMENDATIONS
Page 59 and 60:
MICUS Management Consulting GmbH (2
Page 62 and 63:
Standard Licences for Geographic In
Page 64 and 65:
3. PHASE I: EUROPEAN CONTEXT AND AC
Page 66 and 67:
The reuse of public sector informat
Page 68 and 69:
(c) free copies or privileged acces
Page 70 and 71:
The ‘Guidelines on the use of geo
Page 72 and 73:
Legal Simcity; Legislative Maps and
Page 74 and 75:
Figure 1: Result set showing protec
Page 76 and 77:
Figure 3: Detailed text-to-map retr
Page 78 and 79:
(Simple Knowledge Organization Syst
Page 80 and 81:
Legal Atlas approach, except for pe
Page 82 and 83:
Furthermore, we pointed out that th
Page 84 and 85:
Power and Privacy: the Use of LBS i
Page 86 and 87:
for these needs by increasing the q
Page 88 and 89:
TARGET [citizen(s)] 3.2.2 Citizens
Page 90 and 91:
tionship with the citizen-subject.
Page 92 and 93:
4.4 European case law 4.4.1 Rotaru
Page 94 and 95:
Without prejudice to the general da
Page 96:
Taylor, J.A., A.M.B. Lips and J. Or
Page 99 and 100:
these datasets. Afflerbach et al. (
Page 101 and 102:
gration can be realised. This secti
Page 103 and 104:
94 Table 2: Main classes in NEN3610
Page 105 and 106:
96 Table 3: Slightly different attr
Page 107 and 108:
grassy area in TOP10NL data (right)
Page 109 and 110:
Figure 3: IMGeo roads (a) and TOP10
Page 111 and 112:
3.2 Recommendations for integrating
Page 113 and 114:
Figure 7: Modelling sport area as B
Page 115 and 116:
Stoter, J.E., Morales, J.M., Lemmen
Page 117 and 118:
SDI. This evaluation, as well as an
Page 119 and 120:
ConsultCo now executes their geocod
Page 121 and 122:
4.1 The Catalogue 112 Figure 2: Obj
Page 123 and 124:
114 Figure 3: The address data cata
Page 125 and 126:
multiple data services or resources
Page 127 and 128:
6. CONCLUSION We presented a scenar
Page 129 and 130:
OGC OGF (2007). Memorandum of Under
Page 131 and 132:
the identification, the extent, the
Page 133 and 134:
integration of metadata and spatial
Page 135 and 136:
126 Category Criteria Technical Sta
Page 137 and 138:
cords as required. The application
Page 139 and 140:
element in the metadata record. Thi
Page 141 and 142:
132 Category Criteria Technical Sta
Page 143 and 144:
MET designers should focus greatly
Page 145 and 146:
136
Page 147 and 148:
lative effects of activities on the
Page 149 and 150:
fication both of data and models. T
Page 151 and 152:
study described in the next section
Page 153 and 154:
tionality. Themes are ‘map view
Page 155 and 156:
146 Figure 5: Registration screen f
Page 157 and 158:
As the research progresses more fee
Page 159 and 160:
Pettit, C., W. Cartwright, I. D. Bi
Page 161 and 162:
Over the last few years, important
Page 163 and 164:
- the Regional Topographic Database
Page 165 and 166:
- the attributes of each of these t
Page 167 and 168:
5. METADATA MANAGER For metadata cr
Page 169 and 170:
160
Page 171 and 172:
In the business management literatu
Page 173 and 174:
To use this strategy, effective con
Page 175 and 176:
whether the financial support is fr
Page 177 and 178:
pation and control of their own qua
Page 179 and 180:
With respect to this description, t
Page 181 and 182:
Huarng, F. and Y.T. Chen (2002). Re
Page 183 and 184:
174
Page 185 and 186:
(GPS) devices have changed the natu
Page 187 and 188:
equired to know which properties th
Page 189 and 190:
The first phase of the EcoGeo Proje
Page 191 and 192:
Adding a ne w organisation in the p
Page 193 and 194:
6. CONCLUSIONS AND FUTURE WORK The
Page 195 and 196:
Goodchild, M. (1995). “Geographic
Page 197 and 198:
188
Page 199 and 200:
2. APPLICATION OF SPATIAL INFORMATI
Page 201 and 202:
a set of simple tools and applicati
Page 203 and 204:
Russia is just at the beginning in
Page 205 and 206:
to explore appropriate services for
Page 207 and 208:
Nevertheless it can be stated that,
Page 209 and 210:
REFERENCES Abdulharis, R., van Loen
Page 211 and 212:
Brazil http://www.gisdevelopment.ne
Page 213 and 214:
204
Page 215 and 216:
vertical integration of multiple le
Page 217 and 218:
went from being “nice to have”
Page 219 and 220:
Approximately 59% of LGAs indicated
Page 221 and 222:
Variables 212 Table 2: Variables th
Page 223 and 224:
5. DISCUSSION AND IMPLICATIONS FOR
Page 225 and 226:
Giff, G. (2006). "The value of perf
Page 227 and 228:
Warnest, M., A. Rajabifard and I.P.
Page 229 and 230:
programme. Nevertheless the term 'S
Page 231 and 232: This distinction is also reflected
Page 233 and 234: several decades or more. In essence
Page 235 and 236: to play a larger part in the develo
Page 237 and 238: Masser, I. (2005). GIS Worlds: crea
Page 239 and 240: Studies of cooperation as a subject
Page 241 and 242: 232 Figure 1: The ‘SDI-based netw
Page 243 and 244: Questions of SDI are strongly integ
Page 245 and 246: This leads to the conclusion that w
Page 247 and 248: Brunsson, N. (2006). The organizati
Page 249 and 250: However, current SDI design focuses
Page 251 and 252: 242 Figure 1: Marine and coastal ma
Page 253 and 254: 244 Figure 3: Issues and challenges
Page 255 and 256: emerged in response to a global rea
Page 257 and 258: The OGC/TC 211 implementation speci
Page 259 and 260: Results from European Spatial Data
Page 261 and 262: Nebert , D.D. (ed.) (2004). Develop
Page 263 and 264: The article begins by outlining the
Page 265 and 266: 4. INITIAL RESPONSES TO THE RRRs CH
Page 267 and 268: cluded a qualitative and quantitati
Page 269 and 270: As an example the ‘Spatial and Te
Page 271 and 272: Dale, P., and McLaughlin, J.D. (198
Page 273 and 274: Van Oosterom, P.J.M., Lemmen, C.H.J
Page 275 and 276: each stakeholder can access, use, a
Page 277 and 278: elow (Rajabifard et al., 2003a). Ho
Page 279 and 280: 3.3 Evolution Theory and SDI Evolut
Page 281: spread of a new idea from its sourc
Page 285 and 286: with existing institutional arrange
Page 287 and 288: Hofstede, G. and G.J. Hofstede (200
show all

SDI Convergence - Global Spatial Data Infrastructure Association

Create successful ePaper yourself

Delete template?

Save as template?