NRS-FIA Regional Management Team Meeting Training session by Scott Pugh

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NRS-FIA Regional Management Team Meeting Training session by Scott Pugh




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NRS-FIA Regional Management Team Meeting Training session by Scott PughDecember 7, 2016 DATIM Advanced EVALIDator Dashboards

FIA Data and Tools - Forest Inventory and Analysis National Program ... http://www.fia.fs.fed.us/tools-data/

DATIM – Design and Analysis Toolkit for Inventory and Monitoringhttp://www.fs.fed.us/emc/rig/DATIM/index.shtml Focus today is on two DATIM components: ATIM - Analysis Tool for Inventory and Monitoring SIT – Spatial Intersection Tool

DATIM version 7.0 (summer 2017) – Features Report Wizard

Advanced EVALIDator (partial list, missing API) EVALIDatorPC in MS-Access ( http://apps.fs.fed.us/fiadb-downloads/datamart.html http://www.fia.fs.fed.us/tools-data/tutorials_training/index.php Access SQL and VBA code available for learning FIADB and customization (add estimation and summary variables) EVALIDator on the Web ( http:// apps.fs.fed.us/Evalidator/evalidator.jsp ) Use “Trend analysis” for “Row variable” to generate SQL and use text area to filter with “input additional where clause” constraints FIADB User Guides ( http://www.fia.fs.fed.us/library/database-documentation/ ) Many Oracle SQL examples are available FIADB SQL query box – coming soon! ( http://zlphefido001.phe.fs.fed.us/EvalidatorGRM/fiadb_sql.jsp ) Query FIADB using your own SQL script. Grab scripts out of FIADB user guides or Web Evalidator (add “ fs_fiadb .” as prefix to tables if not present in example)

EVALIDator Version 1.6.0.03Revision date: July 21, 2015 Step 1 of 3 (choosing the retrieval type and estimate type) … http://apps.fs.fed.us/Evalidator/evalidator.jsp EVALIDator on the Web

From data to info in 7-clicks

Output

More than just tables - web maps

EVALIDator additional SQL–“experts only please”  … a nd plot.ecosubcd like ‘%212%’ Example: summarize by ecoregion 212 versus ecoregion sections or subsections as available by default in EVALIDator

Why use the additional sql text box? Filters for ratio estimates require the sql text box Repetitive use of a query with a number of filter constraints Spatial filters (i.e., select by user defined polygon by specifying polygon vertices). Made easier in upcoming EVALIDator release Filters defined by a whole other query Rare cases where a simple filter is required but not available in the default drop down lists

1. Create a subquery to limit your area retrieval to only those plots that have a live ash tree and 0 < (select count(*) from fs_fiadb.tree where tree.plt_cn = plot.cn and tree.spcd in (541, 542, 543, 544, 545, 546, 547, 548, 549, 5491) and tree.statuscd = 1)2. Limit to lands that meet RPA definition of forest land.and not (16.4042 > nvl((select avg ( nvl ( atree.actualht , 0)) from fs_fiadb.tree atree where atree.plt_cn = plot.cn and atree.statuscd = 1 and atree.dia >= 5.0), 0) and cond.fortypcd in (180, 182, 184, 185, 970, 971, 972, 973, 974, 975, 976) and substr(plot.ecosubcd , 1, 4) in (' 311', ' 313', ' 315', ' 321', ' 322', ' 331', ' 332', ' 341', ' 342') and cond.siteclcd = 7) Novel examples of additional SQL where clauses

FIADB SQL Version 1.6.1.01 – coming soon!Forest Service Intranet at http ://zlphefido001.phe.fs.fed.us/EvalidatorGRM/fiadb_sql.jsp

In EVALIDator on the Web, the following summary variables are only available as row classifications:Artificial regen species, congressional district, county code and name, county group, EMAPHEX, ecoregion section, ecoregion subsection, forest type, forest type field call, forest type group, hydrological unit code 8, national forests: ALP, SoForFuturesSubReg , stand origin species, state code, unit code Inventory year is only available as a column classification. So, summarizing by two of these variables in a single table is not possible in EVALIDator. The FIADB SQL box can run custom SQL to output summaries including one or more these classification variables in one table.FIADB SQL

Examples to run in FIADB SQL text box

Example 2: Largest trees by species name and diameter measured in DE in 2015select r.common_name,dia from fs_fiadb.tree t,fs_fiadb.ref_species r where r.spcd=t.spcd and statecd=10 and invyr=2015 and t.dia>20 order by dia desc …

Regeneration IndicatorWhat is it? A Subcomponent of the Vegetation Indicator: 1)Vegetation Profile 2)Invasive Plant Survey 3)Regeneration Indicator All Established Seedlings >= 2-inches Tall Check Root-Collar-Diameter for Large-Seeded Species (to check competitiveness, e.g. Oaks) Tally by Six Length (Height) Classes Average Time is 15 Minutes Per Microplot Browse Impact Code Very Low Low Medium High Very High Microplot Plot 2 inches to 6 inches 3 feet tall to 5 feet Greater than 10-feet 5 feet to 10 feet 1 foot tall to 3 feet 6 inches tall to 1 foot Subplot

-- Area of forest land by browse impact, in acres-- Browse impact is assigned by plot select sysdate created_date , ' 002 Area of forest land, in acres' attribute , pop_eval_grp.eval_grp, pop_eval_grp.statecd , pop_eval_grp.eval_grp_descr , sum ( pop_stratum.expns * c.condprop_unadj * decode ( c.prop_basis , 'MACR' , pop_stratum.adj_factor_macr , pop_stratum.adj_factor_subp )) estimate , b.browse_impact from fs_fiadb.plot p, fs_fiadb.cond c, fs_fiadb.pop_plot_stratum_assgn pop_plot_stratum_assgn , fs_fiadb.pop_stratum pop_stratum , fs_fiadb.pop_estn_unit pop_estn_unit , fs_fiadb.pop_eval pop_eval , fs_fiadb.pop_eval_grp pop_eval_grp , fs_fiadb.pop_eval_typ pet, fs_fiadb.plot_regen b where p.cn = c.plt_cn and pop_plot_stratum_assgn.plt_cn = p.cn and pop_plot_stratum_assgn.stratum_cn = pop_stratum.cn and pop_estn_unit.cn = pop_stratum.estn_unit_cn and pop_eval.cn = pop_estn_unit.eval_cn and pop_eval.cn = pet.eval_cn and pet.eval_grp_cn = pop_eval_grp.cn and pop_eval_grp.eval_grp in (262015) and pet.eval_typ = 'EXPREGEN' and c.cond_status_cd = 1 and p.cn = b.plt_cn and b.browse_impact is not null group by pop_eval_grp.eval_grp,pop_eval_grp.statecd,pop_eval_grp.eval_grp_descr,b.browse_impact

-- Regeneration, s eedling count totals by state select p.statecd , sum ( pop_stratum.expns * rseed.seedlingcount * 74.965282 * adj_factor_micr ) seedlings_total_Estimate from fs_fiadb.plot p, fs_fiadb.cond c, fs_fiadb.pop_plot_stratum_assgn pop_plot_stratum_assgn , fs_fiadb.pop_stratum pop_stratum , fs_fiadb.pop_estn_unit pop_estn_unit , fs_fiadb.pop_eval pop_eval , fs_fiadb.pop_eval_grp pop_eval_grp , fs_fiadb.pop_eval_typ pet, fs_fiadb.seedling_regen rseed where p.cn = c.plt_cn and pop_plot_stratum_assgn.plt_cn = p.cn and pop_plot_stratum_assgn.stratum_cn = pop_stratum.cn and pop_estn_unit.cn = pop_stratum.estn_unit_cn and pop_eval.cn = pop_estn_unit.eval_cn and pop_eval.cn = pet.eval_cn and pet.eval_grp_cn = pop_eval_grp.cn and pop_eval_grp.eval_grp in (262015) and pet.eval_typ = 'EXPREGEN' and rseed.plt_cn = c.plt_cn and rseed.condid = c.condid and c.cond_status_cd = 1 -- only want forested conditionsgroup by pop_eval_grp.eval_grp, pop_eval_grp.statecd, pop_eval_grp.eval_grp_descr, p.statecd order by p.statecd

Prior to the Implementation of the NRS-FIA Regeneration Indicator, These Two Oak Seedlings Were Treated the Same, Seedlings Less Than 1-Foot Tall Were Ignored, and Browse Impact Was Unknown

Regeneration IndicatorCore Figure (WI 2014 ) Percent Diameter Class (Inches) Seedling Length Composition and Structure

Distribution of browse impact on forest land of the Midwest and Northeast USA, 2012-2014. (Note: results for Pennsylvania are for 2010-2014) . Draft – Not for Publication

Herbivory Impact Results(24 NRS States 2012 to 2014 or 57% of the samples) In Process – Not for Distribution In Process – Not for Distribution

Reproduction AdequacyThe Pennsylvania Regeneration Study Proportion of Samples with Adequate Reproduction, Pennsylvania, 2013 Proportion n = 124 n = 122 n = 120 n = 119 n = 119 n = 120 n = 116 n = 107 n = 102 The Pennsylvania Regeneration Study (PRS) is the primary indicator used to determine the number of deer permits to issued in PA by Wildlife Management Unit (WMU) This chart shows that regeneration has improved in WMU 2G! Wildlife Management Units 2G PA

Regeneration IndicatorReproduction Adequacy Metrics For NRS Regions Lake (in progress) Central (in progress) New England (proposed) Plains (in progress) Mid-Atlantic (complete) Funded Research in Progress (Lance Vickers, Post-Doc) Regeneration Indicator Team: Lake   Region Name Affiliation       Lake Tony Di'Amato University of Vermont (previously UMN) Lake John Kabrick USFS NRS, Columbia, MO Lake Christel Kern USFS NRS, Rhinelander, WI Lake Andy Stoltman Wisconsin Division of Forestry, Madisn, WI Lake Yvette Dickinson Michigan Tech University, Houghton, MI             New England Tony Di'Amato University of Vermont (previously UMN) New England/Maine Laura Kenfic USFS NRS, Bradley, ME New England Bill Leak USFS NRS, Durham, NH New England Ralph Nyland Syracuse University, NY Maine Ken Laustsen Maine Forest Service, Augusta, ME Maine Aaron Weiskittel University of Maine, Orono, ME Vickers, L.A.; McWilliams, W.H.; Westfall, J.A; Knapp, B.O.; Dey, D.C,; Kabrick, J.M.; Larsen, D.R.; Shifley, S.R.. A subcontinental-scale forest regeneration indicator for the Central and Plains states .  (In Review) A subcontinental-scale forest regeneration indicator for the Lake States and New England .

Dashboard Ideal User ExperienceIntuitive – point/click and tab, self evident flow Interactive – graphs, tables, maps, pics, video “Cool” looking Informative – current status and trends Easy to find help – popups, tutorials More-info links Easy output/sharing - graphics and tables Fast response 508 compliant Easy to cite and find (who/what to credit, branding) Fun …

Dashboard Ideal Development Environment Easy join to data Easy to add widgets (prebuilt tools) Drag/drop and point/click Customizable – coding environment Inexpensive and long shelf life Development and publish views Easy to backup and update Development support Working examples to use and customize Fits with FIA environment …

Northern Forest Futures Projections Dashboardhttp://www.nrs.fs.fed.us/futures/ http ://www.nrs.fs.fed.us/futures/predict/ Developed from “scratch” with open source tools querying Oracle Forests of the Northern Forest Inventory & Analysis Program https :// public.tableau.com/profile/spugh #!/vizhome/NRS-FIAAnnualReport/Story1 Developed with Tableau (COTS - commercial off-the-shelf) Dashboard Development – which way to go? Shiny User Showcase (R Studio)https ://www.rstudio.com/products/shiny/shiny-user-showcase/ Developed with R Studio’s Shiny (hybrid, open source and proprietary) **Can have smaller learning curve and many out-of-the-box tools for fast development but you can’t always get what you want. Can be hard to credit the Forest Service when buried under the proprietors advertising. **Steep learning curve but very customizable catering to multiple devices, meeting 508 compliance, and easier to credit the Forest Service. **Can be a steep learning curve or mostly use the out-of-the-box tools. Other – partnerships with businesses such as ESRI

Progress with ESRI Insights for ArcGIS

ESRI Insights Insights is a promising interactive GIS analysis tool, potentially a BI tool, but not a dashboard development environment. Insights demo on YouTube W atch in your leisure https ://www.youtube.com/watch?v=d-lcUCB3qsU#t=358.130618

Spatial Data Services (SDS)http://www.fia.fs.fed.us/tools-data/spatial/ SDS team provides several services, such as:Helping clients acquire and use the public FIA database, which includes perturbed plot coordinates to protect landowner's identities Performing spatial summaries of FIA variables for a particular area of interest Performing spatial overlays between plots and geospatial data provided by our customers Providing facilities where a customer may visit and perform their own analysis of FIA data. Spatial Data Services will review the results to insure they comply with the law.  SDS provides a connection between researchers and FIA data. We work to provide customers with the information they need in a way that does not compromise the security of the plot locations. We also provide advice and guidance on the proper use of FIA data.


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