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Multiscale Advanced Raster Map Analysis for Sustainable
Environment
and Development
Consider a 21st Century digital government scenario of the following
nature: What message does a remote sensing-derived land cover land
use map have about the large landscape it represents? And at what scale
and at what level of detail?...Does the spatial pattern of the map reveal
any societal, ecological, environmental condition of the landscape? And
therefore can it be an indicator of change?...How do you automate the
assessment of the spatial structure and behavior of change to discover
critical areas, hot spots, and their corridors?...Is the map accurate?
How accurate is it? How do you assess the accuracy of the map? Of the
change map over time for change detection? What are the implications
of the kind and amount of change and accuracy on what matters, whether
climate change, carbon emission, water resources, urban sprawl, biodiversity,
indicator species, or early warning? And with what confidence, even with
a single map/change-map? ...The needed research is expected to find answers
to these questions and a few more that involve multicategorical raster
maps based on remote sensing and other geospatial data. It is also
expected to design a prototype advanced raster map analysis system for
digital governance.
0) Perspectives
0.1 Patil, G. P. (2000). Multiscale advanced raster map
analysis for sustainable environment and development: A Research
and Outreach Prospectus of Advanced Mathematical, Statistical and
Computational Approaches Using Remote Sensing Data. DEVELOPMENT AND IMPLEMENTATION
OF A PROTOTYPE MARMAP Remote Sensing Application, Technology and Education
for Multiscale Advanced Raster Map Analysis Program.
0.2 Patil, G. P. (2001). Multiscale advanced raster
map information science and technology: A research
and outreach prospectus of advanced mathematical, statistical, and
computational approaches using remote sensing data: Development
and implementation of a user friendly MARMAP System
0.3 Patil, G. P. (2001). Linkage of multiscale multisource
multi-tier data for the purposes of regional assessments and monitoring: A research
and outreach prospectus of advanced mathematical, statistical, and
computational approaches.
0.4 Patil, G. P. (2001). Cost effective ecological
synthesis and environmental analysis research and outreach: A prospectus.
0.5 Patil, G. P. (2001). Biocomplexity of Ecosystem Health
and Its Measurement at the Landscape Scale. A Research
and Outreach Prospectus of Advanced Mathematical, Statistical and
Computational Approaches Using Remote Sensing Data and GIS. DEVELOPMENT
AND IMPLEMENTATION OF A PROTOTYPE MARMAP Remote Sensing Application,
Technology and Education for Multiscale Advanced Raster Map Analysis
Program for Biocomplexity of Ecosystem Health and Its Measurement at
the Landscape Scale.
0.6 Patil, G. P. (2001). Characterization, Evaluation, and
Validation of Ecosystem Health and Its Measurement at the Landscape Scale. A
Research and Outreach Prospectus of Advanced Mathematical, Statistical
and Computational Approaches Using Remote Sensing Data. A Research and
Outreach Prospectus of National and International Case Studies for Evaluation,
Refinement, and Validation.
0.7 Patil, G. P. (2001). Classification and Prioritization
of Watersheds for Monitoring, Protection, and Restoration. A
Research and Outreach Prospectus of Advanced Mathematical, Statistical
and Computational Approaches Using Pertinent Geospatial Information and
Remote Sensing. Characterization, Evaluation, and Validation of Watershed
Characterization Model and Watershed Prioritization Model.
0.8 Patil, G. P. (2002). Multiscale Advanced Raster Map
Analysis System: Geographical Surveillance for Hotspot Detection, Delineation,
and Prioritization: Spatial Scan Statistics for Irregularly Shaped Clusters
and Early Warning System. A Research
and Outreach Prospectus.
0.9 Patil, G. P. (2002). Multiscale Advanced Raster Mapy
Analysis System: Geographical Surveillance for Hotspot Detection, Delineariton,
and Prioritization: Spatial Scan Statistics for Irregularly Shaped Clusters
and Early Warning System. 'Development of Remote Sensing Methods for
Crop Bioterrorism.' Prospectus
9.
0.10 Patil, G. P. (2002). Multiscale advanced raster map
analysis system: Development of watershed classification systems
for diagnosis of biological impairment in watersheds: Classifying and
prioritizing watersheds for protection and restoration. Prospectus
10.
0.11 Multiscale advanced raster map analysis system: Network-based
analysis of biological integrity in freshwater streams. Prospectus
11.
0.12 Patil, G. P., Myers, W. L., Taillie, C., and Wardrop, D.
(2002). Hotspot detection and early warning for synoptic
and network-based syndromic surveillance. Prospectus
12
0.13 Patil, G. P. (2002). Image processing sensors for autonomous
vehicles, robotics and remote sensing: neurovisual fusion architecture
for autonomous object detection. Prospectus
13.
0.14 Patil, G. P. (2002). GEOINFORMATIC SURVEILLANCE DECISION
SUPPORT SYSTEM: Geographic and Network Surveillance for Arbitrarily Shaped
Hotspots Next Generation of Geographic Hotspot Detection, Prioritization,
and Early Warning with Emerging Hotspots. Prospectus
14.
0.15 Prospectus 15: Case
Studies and Biographical
Sketches.
0.16 Patil, G. P. (2000). Classified raster map analysis
for sustainable environment and development in the 21st Century: A perspective. (Based
on the invited plenary lecture at the Workshop on Statistical Science
and Environmental Policy sponsored by the International Statistical Institute,
the Bernoulli Society and the Indian Statistical Institute, Calcutta,
India, January 2000). CSEES Technical
Report 2000-0801.
0.17 Patil, G. P. (2000). Multiscale advanced raster
map analysis for sustainable environment and development using remote
sensing data. CSEES Technical
Report 2000-0901. (Invited paper at the Workshop on Tools
for Understanding Landscape Patterns in Coastal Areas Induced by Industrialization,
Trieste, Italy, September 2000 under the auspices of the United Nations
Industrial Develop Organization (UNIDO)).
0.18 Patil, G. P., and Myers, W. L. (1999). Environmental and
ecological health assessment of landscapes and watersheds with remote
sensing data. Ecosystem Health, 5(4), 221-224, 1999.
0.19 Patil, G. P. (2003). Geoinformatic surveillance for hotspot
detection and prioritization. Innovation with Eplison machines, formal
language measures, upper level set scans, partially ordered set prioritizations,
decision support systems, and virtual situation room servers. Prospectus
16: Overview.
0.20 Patil, G. P. (2003). Geoinformatic surveillance for hotspot
detection and prioritization. Innovation with Eplison machines, formal
language measures, upper level set scans, partially ordered set prioritizations,
decision support systems, and virtual situation room servers. Prospectus
16.
1) Multiscale Landscape Fragmentation Profiles for Subregion Comparisons
1.1 Johnson, G. D., Myers, W. L., Patil, G. P., and Taillie, C.
(2001). Characterizing watershed-delineated landscapes in Pennsylvania
using conditional entropy profiles. Landscape Ecology, 16, 597-610,
2001. (CSEES Technical Report
99-0302).
1.2 Johnson, G. D., Myers, W. L., Patil, G. P., and Taillie, C.
(2000). Predictability of surface water pollution loading in Pennsylvania
using watershed-based landscape measurements. Journal of the
American Water Resources Association, 37(4), 821-835, 2001. (CSEES Technical
Report 99-0303).
1.3 Johnson, G. D., Myers, W. L., Patil, G. P., O'Connell, T. J., and
Brooks, R. P. (2002). Predictability of bird community-based
ecological integrity, using landscape measurements. In Managing for
Healthy Ecosystems, D. Rapport, W. Lasley, D. Rolston, O. Nielsen,
C. Qualset, and A. Damania. CRC Press/Lewis Press. (To appear). (CSEES Technical Report
99-0601).
1.4 Johnson, G. D., and Patil, G. P. (1998). Quantitative
multiresolution characterization of landscape patterns for assessing
the status of ecosystem health in watershed management areas. Ecosystem
Health, 4(3), 177-187.
1.5 Johnson, G. D., Myers, W. L., and Patil, G. P. (1999). Stochastic
generating models for simulating hierarchically structured multi-cover
landscapes. Landscape Ecology, 14, 413--421.
1.6 Johnson, G. D., Myers, W. L., Patil, G. P., and Taillie, C.
(1999). Multiresolution
fragmentation profiles for assessing hierarchically structured landscape
patterns. Ecological Modeling, 116, 293--301.
1.7 Johnson, G. D., and Patil, G. P. (2001). Landscape
Pattern Analysis for Assessing Ecosystem Condition. Kluwer
Academic Publishers. pp. 200 (Under preparation).
2) Modeling and Simulation of Multicategorical Raster Maps Using
Hierarchical Markov Transition Matrices
2.1 Johnson, G. D., Myers, W. L., Patil, G. P., and Taillie, C. (2001).
Fragmentation profiles for real and simulated landscapes. Environmental
and Ecological Statistics, 8(1), 5--20. (CSEES Technical
Report 99-0102).
2.2 Patil, G. P., and Taillie, C. (1999).
2.3 Patil, G. P., and Taillie, C. (2000). A multiscale hierarchical
Markov Transition Matrix Model for thematic raster maps. Environmental
and Ecological Statistics, 8(1), 71--84.
2.4 Patil, G. P., and Taillie (2000). A computer program
for simulating thematic raster maps with the HMTM model. Technical
Report 2000-0604, Center for Statistical Ecology and Environmental Statistics,
Department of Statistics, Penn State University, University Park, PA.
2.5 Patil, G. P., and Taillied (2000). Multiscale frequency table
analysis of landscape fragmentation in thematic raster maps. Technical
Report 2000-0701, Center for Statistical Ecology and Environmental
Statistics, Department of Statistics, Penn State University, University
Park, PA.
2.6 Patil, G. P., and Taillie, C. (2000). Properties of binary
raster maps generated from the HMTM model. Technical Report 2000-0702,
Center for Statistical Ecology and Environmental Statistics, Department
of Statistics, Penn State University, University Park, PA. (In preparation).
2.7 Patil, G. P., and Taillie, C. (2000). Testing for self-similarity
of thematic raster maps using the HMTM model. Technical Report
2000-0703, Center for Statistical Ecology and Environmental Statistics,
Department of Statistics, Penn State University, University Park, PA. (In
preparation)
2.8 Patil, G. P., and Taillie, C. (2001). Modeling
Analysis and Simulation of Multicategorical Raster Maps. Kluwer
Academic Publishers. pp. 200 (Under preparation).
3) Understanding Surfaces: Echelon Analysis of
Spatial Structure for Quantitative Geospatial Data
3.1 Myers, W. L., Patil, G. P., and Taillie, C. (1999). Conceptualizing
pattern analysis of spectral change relative to ecosystem status. Ecosystem
Health, 5(4), 285-293, 1999.
3.2 Johnson, G. D., Myers, W. L., Patil, G. P., and Walrath, D.
(1998). Multiscale analysis
of the spatial distribution of breeding bird species richness using the
echelon approach. In Assessment of Biodiversity for Improved
Forest Planning, P. Bachmann, M. Kohl, and R. Paivinen, eds. Kluwer
Academic Publishers. pp. 135-150.
3.3 Myers, W. L., Patil, G. P., and Joly, K. (1997). Echelon
approach to areas of concern in synoptic regional monitoring. Environmental
and Ecological Statistics, 4(2), 131-152.
3.4 Kurihara, K., Myers, W. L., Patil, G. P. (2000). Relationship
of population and land cover pattern based on remote sensing data using
echelon analysis. Community Ecology (to appear). (CSEES Technical Report
99-1103)
3.5 Myers, W. L., and Patil, G. P. (2001). Understanding
Surfaces: Echelon Analysis of Spatial Structure for Quantitative Geospatial
Data. Kluwer Academic Publishers. pp. 200 (Under preparation).
3.6 Myers, W. L., and Patil, G. P. (2002). Echelon analysis. In Encyclopedia
of Environmetrics, Volume 2. A. El-Shaarawi and W. W. Piegorsch,
eds. John Wiley & Sons, UK. pp. 583--586. (CSEES
TR 2001-0205)
4) Change Detection and Accuracy Assessment Using Error Matrix
and Nested Area Sampling Frames
4.1 Patil, G. P., Johnson, G. D., Taillie, C., and Myers, W. L. (2000). Multiscale
statistical approach to critical-area analysis and modeling of watersheds
and landscapes. In Statistics for the 21st Century:
Methodologies for Applications of the Future, C. R. Rao and G. J.
Szekely, eds. Marcel Dekker, Inc., New York. pp. 293--310. (CSEES Technical
Report 99-0502.)
4.2 Patil, G. P., and Taillie, C. (2000). Modeling and interpreting
the accuracy assessment error matrix for a doubly classified map. Technical
Report 2000-0502, Center for Statistical Ecology and Environmental
Statistics, Department of Statistics, Penn State University, University
Park, PA.
4.2 Patil, G. P., and Taillie, C. (2000). Analytic solution
of the regularized latent truth model for binary maps. Technical
Report 2000-0601, Center for Statistical Ecology and Environmental
Statistics, Department of Statistics, Penn State University, University
Park, PA.
4.3 Patil, G. P., Ray, S., and Taillie, C. (2000). Performance
of adaptive sampling design with nested area sampling frame for binary
maps. Technical Report 2000-0720, Center for Statistical Ecology and Environmental
Statistics, Department of Statistics, Penn State University, University
Park, PA. (In preparation).
5) Pattern-Based Compression of Multiband Image Data for Landscape
Analysis
5.1 Filipponi, D., Patil, G. P., and Taillie, C. (1998). Use
of indicator kriging to improve spatial coherence of thematic raster
maps. Technical Report 98-0103, Center for Statistical Ecology and Environmental
Statistics, Department of Statistics, Penn State University, University
Park, PA.
5.2 Patil, G. P. and Myers, W. L. (1999). Statistical approaches
to multiscale assessment of landscapes and watersheds.
5.3 Patil, G. P., Myers, W. L., Luo, Z., Johnson G. D.,
and Taillie, C. (2000). Multiscale assessment of landscapes and
watersheds with synoptic multivariate spatial data in environmental and
ecological statistics. Mathematical and Computer Modeling on
Stochastic Models in Mathematical Biology, 32, 257--272.
5.4 Myers, W. L., Patil, G. P., and Taillie, C. (1999). Adapting
quantitative multivariate geographic information system data for purposes
of sample design: the phase approach. In Multivariate Analysis,
Design of Experiments and Survey Sampling, Subir Ghosh, ed., Marcel
Dekker, Inc., New York
5.5 Myers, W. L., and Patil, G. P. (2001). Pattern-based
Compression of Multiband Image Data for Landscape Analysis. Kluwer
Academc Publishers. pp. 200. (Under prepration).
See the following pages for additional references:
Spatial Statistics
Survey Design and
Sampling
Statistical Landscape
Ecology
Geospatial Multiscale
Ecological Assessment
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