GIS Projects: 2009 Priorities

1. GIS Projects: 2009 Priorities Collective efforts of NRPC I&M GIS Team

2. First, a brief review… • In the event of questions or concerns who do you contact? Before

3. What’s on tap? • Analysis of inventory products • NPScape (major focus of presentation) • VSIMS core functionality • Support of IRMA functional requirements and use case analysis (not addressed here)

4. Analysis of Inventory Products Subtitle… FANCY

5. “Back to the Future” in the sense • Over the years, the I&M program has invested millions of dollar$ in Inventory Products • True value of inventory data is realized when: • Used as a baseline for future efforts • Applied in park decision making

6. Initial Inventory Projects • Focus on “standard” inventory products generated by soils, geology, base cartography, and other core inventories • Work in concert with local (park) staff to identify management questions that can be addressed with available inventory data

7. Navajo National Monument (NAVA) • Park status: small resource staff, limited GIS expertise and resources, units managed in context of surrounding tribal lands • Project goals are to : • Produce a baseline GIS library in an easy to use format (Theme Manager). • Generate summary statistics for data layers (PMIS input) • Utilizing existing I&M inventory products to develop an analysis of erosion risk within the landscape context of the monument. • Provide training and documentation to NAVA for project products

8. NAVA Adjacent Land Use • Use base cartography (imagery) to document change • Alteration to drainage patterns • Affects access to and stability of ruin sites 1952 2007

9. NAVA Erosion Modeling • Frames: • Elevation • Slope • Flow Accumulation • Slope-Length • Erosivity • Soil Erodibility • Land Cover • NDVI • Cropping Factor • Erosion Risk Using Revised Universal Soil Loss v2 (RUSLE2) parameters

10. Organ Pipe Cactus National Monument (ORPI) • Park status: resource staff dealing with significant impact to resources due to border activities, history of monitoring in the park, need to inform park management and work with law enforcement on interdiction efforts • Project goals are to : • Using  good science, staff experience and existing geospatial datasets, identify information gaps and vulnerable areas. • Identify temporal (historic) and spatial disturbance regimes related to cross-border traffic. Use outputs to help focus inventory & monitoring, law enforcement efforts and research on the environmental impact of border-related disturbances.

11. Organ Pipe Cactus National Monument (ORPI) • Cost-surface modeling of border crossing: Basic model Include pedestrian fence

12. NPScape Project Objects near parks arecloser and larger than they appear

13. NPScape Project Overview • Project is intended to provide a view of parks in their larger ecological context • Focus is on a consistent, servicewide approach that still has relevance at park level • Utilizing geospatial data available on a nationwide scale • Careful attention to developing procedures that can be replicated • SOPs and tools are being developed that can be customized for local applications (acknowledging our “one size” might not “fit all”)

14. Suite of products for each metric • Measure Development Summary (MDS) • Data products • Standard Operating Procedures • Cartographic and other graphic outputs • Tables and other summaries • Interpretation/summary by park

15. Project SOPs • Documentation ensures consistency and adherence to project standards… • Hopefully dodge the “hit by the bus” situation

16. Initial focus on four metrics • Population • Land Cover • Conservation Status • Roads

17. Population Measures • Recent change in population density (1990 – 2000) • Historic change in population density (1790 – 1990) • Recent population change • Etc.

18. Population and Housing MDS • Each MDS covers the following topics: • Background (what are the monitoring questions and ecological inferences) • Data sources and dimensions (spatial, temporal, and thematic) • Derived metrics • Issues and assumptions considered in the metrics

19. Population Data Sources • 1990 Census Block Groups (geography and STF1 content) • 2000 Census Block Groups (geography and STF1 content) • Waisanen & Bliss Historic Population (1790 – 1990, county-based) • Etc.

20. Population Processing SOPs • Perhaps the most important project deliverable… • SOPs allow you to replicate or customize process for local needs

21. SOP Content • GIS Components developed in ArcGIS Model Builder (leverage standard geospatial tools) • Documentation consists of: how to run existing models, data requirements, model logic and assumptions, quality checks, and how to customize models

22. Sample products: Historic Population Density Different ways of representing content…depends on medium, e.g. print or web.

23. Ability to look at individual county-level detail Average U.S. Population Density (2000) = 30.7 people/km2

24. Sample Products: Recent Population Density Change 1990 2000

25. Land Cover Measures • Percent Natural/Percent Converted • Change in percent natural/percent converted • Area in impervious cover • Etc.

26. Land Cover Data Sources • National Land Cover Data (NLCD) • LANDFIRE • Gap Analysis Program (GAP) • NatureServe Ecological Systems • Etc.

27. Sample Output: Percent Converted Green = Natural NLCD Land Cover Classes Yellow = Converted NLCD Land Cover Classes

28. Sample Output: Land Cover Change (1992 – 2001)

29. Conservation Status Measures • Percent protected land • Conservation Risk Index (CRI) • Etc.

30. Conservation Status Data Sources • Gap Analysis Program (GAP) • Protected Areas Database (PAD-US) • Etc.

31. Sample Output: Percent Protected Land

32. Sample Output: Conservation Risk Index (CRI) • Utilizes input from Land Cover measure and a different Conservation Status measure Converted land (%) CRI = -------------------------- Protected Land (%)

33. Transportation Measures • Distance to roads • Road density • Etc.

34. Transportation Data Sources • ESRI StreetMap • TIGER Line Files • TeleAtlas • Etc.

35. Sample Output: Road Density • Not all roads are created equal: treat local streets, major roads, and interstates differently • Calculate density for each road “classification” Can add gridded densities for each layer to obtain total road density.

36. Sample Output: Distance to Roads • Surrogate for “road less” areas Distance to major roads Distance to streets Buffalo National River – 30km Buffer

37. Project Updates and Links to Data/Products http://www1.nrintra.nps.gov/im/monitor/npscape/index.cfm http://nrinfo

38. Vital Signs Internet Map Services (VSIMS) • FY2009 Activities: • NRDT upload and map display functions plus integration with IRMA • Development staff opening • Demo during Weds • Show and Tell session

39. Questions or Comments? • Swap Meet • Happy Hour (Meet Brent in back corner of bar, he’s buying!) • Ad Hoc