ESRI Quality Solution

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1 ESRI Quality Solution Paul Hardy Business Development Consultant (NMCAs) ESRI Europe

2 ESRI Quality Solution Geodatabase Integrity Schema constraints (Attribute Domains etc) Rich data types (cartographic representations, networks, etc) Geoprocessing tools (Check Feature etc) SDE Load Checks Topology Topology Rules Topology error handling PLTS Production Line Tool Set Real-time attribute validation (domains, CNT, VVTs) GIS Data ReViewer Metadata (& standards conformance) ISO (19113, 19114, 19138, ) ArcObjects API For tailored and bespoke solutions

3 We share your vision: Collect once, use many times Geodatabase Maps/Charts Hardcopy PDF Data Products Imagery Grids/Terrains Vector Data Web Portal Services

4 Database driven mapping Organising, Managing, Securing. Comprehensive Information Model (Any Type of Data) ArcGIS Scalable Storage Environments Geodatabase Networks 3D Objects Topology Cartography Attributes Vectors Terrain Schematics Surveys Any DBMS Files Cadastral Annotation Dimensions Addresses Images

5 Field Survey & GPS Map Scan & Vectorise Photogrammetry CAD data Edit & update GIS Mapping Data Flows Collect Standards Manage Quality & Integrity Structure & Topology Versions & Transactions History & Archiving Multiple representations Requirements Geodatabase Workflow Share Quality Produce Paper maps Downloadable maps (PDF) Web maps Raster data products Vector data products Metadata, Portals, SDIs Analysis & Reports Visualization & Modelling Generalization Cartographic design Map authoring Representation overrides

6 Multi-scale, Multi-product Database Model Generalization Landscape Model Cartographic Model Cartographic Generalization Visual Product n to m relationship Derive Features Derive Features DLM Coarse DLM Medium Add Representations to features Add Representations to features 1 to 1 relationship Derive Reps Derive Reps Derive Reps Derive Reps 1:250K Sheet 1:200K Atlas 1:50K Topo 1:25K Topo DLM Fine (Master) Add Representations to Features Derive Reps Derive Reps 1:15K Street 1:10K Topo 6

7 GEODATABASE INTEGRITY

8 Database Schema & Quality ArcCatalog is main tool Tools to help create and then load UML models Feature Datasets, Feature Classes, Subtypes Attribute domains ensure clean attribution Cartographic Representations avoid data copies Versioning to protect integrity of long transactions Database archiving to record change through time Database replication for reliable distributed DB

9 Data Loading and Checking ArcGIS reading of shapefiles etc is tolerant of errors Null geometry Self intersections Invalid holes So two geoprocessing tools to detect and repair Check_Features Repair_Features When data stored in SDE geodatabase less tolerant SDE will clean geometry to canonical forms Geoprocessing framework and model builder 400+ other geoprocessing tools Data Interoperability Extension 70+ formats read Safe Software FME and workbench

10 TOPOLOGY

11 Topology in maps Describes exact spatial relationships of map features Adjacency Coincidence Connectivity Containment Others GIS uses Analysis Data integrity

12 Topology in the geodatabase Helps ensure spatial integrity of data Finds errors in data Fix with edit and topology tools Relationships not stored Discovered on-the-fly by ArcMap Coincidence-based topology Snaps feature vertices Between one or two feature classes Projection independent relationships Monuments Lot lines Parcels Zoning

13 Coincident geometry Each feature stored as a complete feature Lines 5 features 7 coordinate pairs Polygons 2 features 8 coordinate pairs Points X: Y: X: Y:

14 Real-world examples Single feature class examples Postal code boundaries must not overlap Sewer lines must not have dangles Vegetation polygons must not have gaps Rule: Soil polygons must not overlap Find error Fix error Two feature class examples Parcel boundary must be covered by parcel lines Woodlands must not overlap with water City points must be properly inside of countries

15 Geodatabase topology Created in feature dataset User specifies properties Topology properties Cluster tolerance Participating feature classes Ranks Topology rules Discovers and enforces topological relationships Snaps feature vertices during validation Edited in ArcMap

16 Ranks Control how vertices move during validation Lower-ranked vertices move to higher-ranked vertices Ranks: 1 (highest) to 50 (lowest) Set ranks between feature classes (not subtypes or features) = feature class 1 = feature class 2 old location Equal ranks Cluster tolerance H = Highest rank L = Lowest rank Unequal ranks H L Endpoints move to average location Which data should be ranked higher? L L H H L line moves to H line A

17 Topology rules Define valid spatial relationships Between feature classes or subtypes 25 rules available Many rules for each type of feature (point, line, polygon) Set when creating topology; tested during validation Parcels boundary must be covered by Parcel Lines Topology rule FC 1 FC 2 Roads must not overlap with Railroads Topology rule FC 1 FC 2

18 Topology Rules

19 Dirty areas Areas in the dataset that have not been validated Entire extent is dirty when topology is first created May contain existing or undiscovered errors Edits create dirty areas Before Edit session Insert vertex Dirty area created

20 Validating a topology Checks dirty areas for errors Snaps coordinates using cluster tolerance and ranks ArcCatalog validates entire topology Cannot undo ArcMap has additional options Can undo No new features created Validating in ArcMap Validating in ArcCatalog

21 Topology errors Found during validation Rule violations: Dangles, overlaps, etc. If there are no rules, there can be no errors Stored in topology as specialized geometries Use to locate errors in ArcMap Error properties Which rule was violated? Which features caused the error? Where the error is located?

22 Managing errors Errors cannot be deleted but may be: Resolved by editing features that break rules Marked as an exception and stored in the topology Ignored (data can still be used) Integrate error management into your workflow Who is responsible for finding and fixing errors? When are they fixed? Who performs final quality assurance tests?

23 Topology workflow User may stop at any point in the process ArcCatalog ArcMap Edit features Create topology Dirty areas Validate topology Data clean Cluster tolerance Ranks Rules Validate Errors Fix errors Make exception Exceptions

24 TOPOLOGY DEMO

25 PLTS

26 What is PLTS for ArcGIS? and Why? ArcGIS extension Database-centric production environment For high-volume database and map production Promotes efficient end-to-end production workflow Avoid stovepipes, or repeat work Higher quality DB and maps at lower production costs Create maps that meet set specifications Provides a Knowledge Base of Map Specifications Database Models Validation Rules Configuration Rules Visualization & Symbolization rules

27 PLTS for ArcGIS Aeronautical Solution Defense Solution Mapping Agency Solution JTX (also sold stand-alone) MPS (also sold stand-alone) Enhanced Editing Tools PLTS Foundation Data Loader PMC Nautical Solution Intelligence Solution GIS Data ReViewer (also sold stand-alone) Knowledge base Complex Domains Custom Solutions

28 PLTS Foundation adds to core ArcMap Enhanced use of the ArcMap TOC PLTS Selection tab PLTS Target tab easy attribution Metadata editing On the fly error verification Run-time Knowledge Base Tables Condition tables (SQL) Valid value tables

29 PLTS Editing Suite TOC Manager Quickly and efficiently control TOC Editing Environment Controls Edit Session and Selection Environment Editing Tools Single-click access to edit tasks Context tools

30 Map Production System-Atlas High-quality/high-volume production Sheet series Atlas and map book creation Batch printing and export Visual Specifications and Product Views New in 9.3 Uses cartographic Representations Dynamic layouts Graphic table elements in layouts Automated element placement rules Grid Manager to create standard grids and graticules

31 JTX Job Tracking Extension solution for managing enterprise geospatial workflows Workflow Management Standardize consistent workflows Job/Task Management Track progress and status Geodata Management Simplify administration User Management Improve productivity Centralized Information Decision Support

32 GIS DATA REVIEWER

33 GIS Data Reviewer System to process and assess spatial data quality Find Automated checks Visual checks Correct PLTS Edit tools Verify Identify corrections

34 GIS Data ReViewer Components of the GIS Data ReViewer Main toolbar Manage ReViewer sessions Perform data review Database environment to manage the review ReViewer Table

35 The ReViewer Table Heart of the review process Tracks all anomalies and errors Records correction and verification status Contains tools to help manage the records

36 Automated Data Review Running Data Checks Select a batch check Run the desired test Browse results or write to table A

37 Automated Data Review Committing to the ReViewer Table Two options Browse features Write directly to the error table Browse feature Visit each record one at a time Choose to write all or write individual

38 ReViewer Checks Download ReViewer Checks Poster (pdf file) Literature link

39 Automated Data Review

40 Automated Data Review

41 Automated Data Review

42 Automated Data Review

43 Automated Data Review

44 DATA REVIEWER DEMO

45 Visual Review tools Manual data review From a selection set Browse through features using dialog box Commit features to ReViewer Table Single features Select feature Commit to ReViewer Table button Missing Features Flag Missing Feature Notepad Sketch Tools Gridding for sampling

46 Batch Jobs: Saved groups of checks Allow execution of multiple checks Allow for consistent validation from known source Designed once and executed many times Easy to disseminate to production team Design Batch Jobs in Batch Job Manager Batch Job Manager

47 More on the ReViewer Table Grouping Columns Toggle Table Edit Mode Symbolize Reviewer Records Grid Selection ReViewer Table Properties Duplicate Records Statistics Line Notepad A Point Notepad Polygon Notepad Browse Through ReViewer table Records

48 METADATA

49 ArcCatalog - Metadata

50 ArcCatalog - Metadata

51 ISO Metadata Supported in current versions As alternative to FGDC or ESRI styles But limited panels Full support planned from ArcGIS 9.4

52 TAILORED QA

53 ESRI Switzerland Data Quality Assurance (QA) Framework and Tools ArcObjects-based data QA system Fast Optimized for large data volumes Flexible Configurable in custom Oracle data dictionary (not in versioned GDB schema) Easier to adjust/update on production system Does not require geodatabase topologies or geometric networks but can use if they exist Test types Geometric Attribute Topological Network connectivity Graphic overlap

54 QA Toolbar Choose/Customize Specification Verify Box, Selection, Verification Results Navigate Errors Error Selection Tool Navigate Allowed Errors

55 Test Conditions Example Major Street Intersects Polygon Water Body A generic test ( Intersects Other ) configured to specific data ( Streets and Water Bodies feature classes)

56 Quality Specification List of Test Conditions Example Integration Condition properties Hard or Soft Stop on error or Continue Admin tool (not shown) GUI to build a specification XML import/export

57 Verification Results Saved to Oracle data dictionary Summary Individual errors

58 Navigator Window Geo-navigate through errors Shortcut tools to help fix errors Example Trail intersects lake

59 Summary ESRI has a wide range of tools and facilities for Quality Prime tool is GIS Data ReViewer Don t forget others: PLTS Foundation Topology Metadata Data load checks and SDE And can build bespoke tools using ArcObjects toolkit

60 Questions and Comments? What Quality tools do you want?

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