Compliance with LBRS Standards An In-House Effort Shoreh Elhami, GISP GIS Director Delaware County...

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Compliance with LBRS Standards Compliance with LBRS Standards An In-House Effort An In-House Effort Shoreh Elhami, GISP GIS Director Delaware County Auditor’s Office 2008 Ohio GIS Conference September 10-12, 2008 Crowne Plaza North Hotel Columbus, Ohio

Transcript of Compliance with LBRS Standards An In-House Effort Shoreh Elhami, GISP GIS Director Delaware County...

Compliance with LBRS StandardsCompliance with LBRS StandardsAn In-House EffortAn In-House Effort

Shoreh Elhami, GISP

GIS Director

Delaware County Auditor’s Office

2008 Ohio GIS Conference

September 10-12, 2008

Crowne Plaza North Hotel

Columbus, Ohio

Compliance with LBRS Standards

An In-House Effort• Introduction & Objective• Procedure

• Pilot Project• Datasets• Methodology

• Approval Process• Update Mechanism

• Summary

Introduction – Delaware County

• Located in central Ohio, fastest growing county in the State of Ohio since 1980

• 21st fastest growing county in the nation

• A mature GIS system – circa 1990 • A comprehensive GIS dataset – over

100 data layers• To learn more, visit our website at:

www.dalisproject.org

Objective• To comply with the State’s LBRS

standards and guidelines to help build seamless statewide GIS datasets; an absolute necessity for numerous applications including disaster response and transportation

• To demonstrate what’s involved in an In-House effort and encourage similar GIS shops (the hesitant ones!) to do the same

Procedure• Contacted OGRIP/ODOT; multiple meetings• Conducted a Pilot Project

• Compared OGRIP and County’s datasets• Populated the pilot area with new information and

submitted all datasets

• Met with OGRIP again; this time other decision makers attended

• In the process of signing the MOA• OGRIP will sign next; funding will be allocated• Countywide work will start• Annual Update Mechanism (all processes will be

documented and available to all interested parties)

Pilot Project: Compare LBRS’ Datasets with County’s

• Address Points – Existing• Street Centerline – Existing • Alternate Street Names Table –

New • Centerline Points – New• Landmark Table – New

County’s Address Points

• Originally outsourced in 1999; the county was driven and address points were GPS’ed (plus front façade photos) – countywide update interval is 5 years

• Annual in-house update – driving • Includes all structures within the

county (+/- 80,000 structures)• Rich attribute data – 35 attributes

County’s Address Points

County’s Street Centerline

• Created from 6 inch pixel resolution Orthophotos stereoscopically; limited attributes – 1997

• Several additional attributes since then – up to 28 attributes

• Road mileage: +/- 1,700

County’s Street Centerline

Address Points - Comparison

• Add 11 attributes• SEG_ID, NLF_ID, MP_VAL,

BUILDING, FLOOR, STRUC_TYPE, FIPS_CODE, SOURCE, COLL_DATE, Z_COORD, OCC_STAT

• Map 9 attributes (different name, same content)

• PARCEL_NO, STREET_NUMB, PREDIR, PRETYPE, NAME, TYPE, SUFDIR, UNIT_NUMBER, ZIP_CODE

Address Points• SEG_ID (same as county’s

ROAD_LAYER):1. Geo-coded the address file using the

Street Centerline with a 5 foot side offset and 3 feet end offset

2. Created a 7 foot buffer from the Street Centerline (List – Dissolve by SEG_ID)

3. Conducted a Spatial Join between layers from step 1 and 2 (to get the SEG_ID from the buffer layer to the geo-coded layer)

4. Regular join between the layer in step 3 and the Address Point layer by LSN or full address as join item

SEG_ID: ROAD_LAYER

Address Points (contin...)

• NLF_ID (ODOT ID Number)• Joined Address Points to road centerline by

using full street name as join item• MP_VAL (Address Point’s 3D Distance)

• Created a route, used “Locate features along a route” function of 3D Analyst to transpose address points on the route (5000’ distance)

• Created an event point layer using the table from the previous step; deleted all records that their NLF_ID was not equal to RID (Route ID) to weed out erroneous records

• Joined the clean layer to Address Point; used LSN as join item (excluded zero addresses); Calculate MP_VAL = MEAS

MP_VAL – Creating the Route

MP_VAL

Address Points (contin...)

• Z_COORD• Calculated from the Terrain using

Functional Surface > “Interpolate Shape” using 3D analyst extension of ArcGIS

Street Centerline

• Add 21 attributes• L_TWP, R_TWP, L_CITY, R_CITY, L_COUNTY,

R_COUNTY, L_STATE, R_STATE, L_FIPS, R_FIPS, JURISDIC, CARDINAL, BEG_LOG, END_LOG, LENGTH3D, STYPE, DIR_TRAV, LANES, REV_DIR, DIV, SPEED

• Map 14 attributes• ROAD_LAYER, PREDIR, PRETYPE, NAME, TYPE,

SUFDIR, F_LEFT, T_LEFT, F_RIGHT, T_RIGHT, ZIP_LEFT, ZIP_RIGHT, E_CODE, NLF_ID

Street Centerline• Length3D

• Created a Terrain from 6-foot Contour (from 2’ contour) and converted to raster to create a DEM (3D Analyst – Conversion – From Terrain – Terrain to Raster)

• Use the Functional Surface > “Surface Length” function (3D Analyst Extension of ArcGIS) to calculate 3D Length

• BEG_LOG & END_LOG• Manually created for pilot area; though it

will be calculated by ODOT for the county

Length3D

Length3D

Alternate Street Names Table

• Alias name information already existed in our street centerline layer

• Add 12 attributes• STR_PRE_1&2, PRE_TYPE_1&2,

STR_NAME_1&2, STR_TYPE_1&2, STR_DIR_1&2, LSN_1&2

• Map 7 attributes• ROAD_LAYER, PREDIR, PRETYPE, NAME,

TYPE, SUFDIR, ADDRESS

Centerline Points• The existing centerline point layer is

designed for road intersection search; the content and function to create this layer is different from the new layer

• The new layer includes a vertex at every road intersection as well as where the road is intersected by zip code and municipal boundary

• Includes 4 attributes• STR_ID, X_COORD, Y_COORD, Z_COORD

Landmark table

• County’s landmarks all exist in the Address Point layer with their alias names

• Extracted all of those records• Deleted unnecessary attributes • Added 1 new attribute (LM_ID)• Mapped 4 attributes

• PARCEL_NO, ALIAS, ADDRESS, NLF_ID

Summary• Pilot Project started in early 2008• Three Submittals of datasets• Received multiple feedbacks• The last version was submitted in

August 2008• Spent +/-100 hours on the pilot

project which became the basis for final estimates

Summary• Time estimate to complete countywide

datasets: +/- 1,294 hours • After funding is allocated, the

countywide work will begin• Delivery date: +/-3 months • Will develop a routine to publish all five

(5) datasets annually (will maintain two versions of Address Points and Street Centerline layers)

• Complete documentation will be available to everyone from our website

Questions?

Delaware County Auditor’s GIS OfficeTodd A. Hanks, County Auditor

www.dalisproject.org

Shoreh Elhami, GISPGIS Director

[email protected]