DECART Quality Measurement Tools



Similar documents
GEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION

ArcGIS Data Models Practical Templates for Implementing GIS Projects

APLS GIS Data: Classification, Potential Misuse, and Practical Limitations

Digital Cadastral Maps in Land Information Systems

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May Content. What is GIS?

Vector analysis - introduction Spatial data management operations - Assembling datasets for analysis. Data management operations

Specialised Data Specifications

PROCEDURE MANUAL FOR ENGINEERING CONSULTANTS

SPATIAL ANALYSIS IN GEOGRAPHICAL INFORMATION SYSTEMS. A DATA MODEL ORffiNTED APPROACH

GPS Data Collection. 1. Field Reconnaissance 2. Mission Planning. 3. Equipment Setup 4. Data Collection/Data Update 5.

Slicing Issues in CAD Translation to STL in Rapid Prototyping

Using the Quadrant. Protractor. Eye Piece. You can measure angles of incline from 0º ( horizontal ) to 90º (vertical ). Ignore measurements >90º.

Title 10 DEPARTMENT OF NATURAL RESOURCES Division 35 Land Survey Chapter 1 Cadastral Mapping Standards

Traffic Monitoring Systems. Technology and sensors

Explore. Analyze. Optimize. AutoCAD. Civil 3d

CHAPTER 9 SURVEYING TERMS AND ABBREVIATIONS

Explore. Analyze. Optimize. AutoCAD. Civil 3d

GIS Data Quality and Evaluation. Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University

Spatial data quality assessment in GIS

Holes & Selective Laser Sintering

A HYBRID APPROACH FOR AUTOMATED AREA AGGREGATION

Introduction to GIS. Dr F. Escobar, Assoc Prof G. Hunter, Assoc Prof I. Bishop, Dr A. Zerger Department of Geomatics, The University of Melbourne

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS

COS AND LAND USE PLANNING: OPEN DATA TOWARDS PLANNING

Chapter 5: Working with contours

Maximum Range Explained range Figure 1 Figure 1: Trajectory Plot for Angled-Launched Projectiles Table 1

LIDAR and Digital Elevation Data

Title 10 DEPARTMENT OF NATURAL RESOURCES Division 35 Land Survey Chapter 1 Cadastral Mapping Standards

3D representation of the urban evolution of Braga using the CityEngine tool

NEW GENERATION OF COMPUTER AIDED DESIGN IN SPACE PLANNING METHODS A SURVEY AND A PROPOSAL

The common ratio in (ii) is called the scaled-factor. An example of two similar triangles is shown in Figure Figure 47.1

CityGML goes to Broadway

AUTOMATION OF FLOOD HAZARD MAPPING BY THE FEDERAL EMERGENCY MANAGEMENT AGENCY ABSTRACT INTRODUCTION

Working with Data from External Sources

Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map

sensors ISSN

City of Tigard. GIS Data Standards

Template-based Eye and Mouth Detection for 3D Video Conferencing

Seminar. Path planning using Voronoi diagrams and B-Splines. Stefano Martina

DATA VISUALIZATION GABRIEL PARODI STUDY MATERIAL: PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS AN INTRODUCTORY TEXTBOOK CHAPTER 7

What methods are used to conduct testing?

Solving Equations With Fractional Coefficients

Data Validation Online References

Vector Notation: AB represents the vector from point A to point B on a graph. The vector can be computed by B A.

Topology and Topological Rules Geometric properties that are maintained in spatial databases

Guidance for Flood Risk Analysis and Mapping. Changes Since Last FIRM

Integration of the Construction Estimate in Construction Programe

A Method Using ArcMap to Create a Hydrologically conditioned Digital Elevation Model

Total Program's Units

EQUATIONS and INEQUALITIES

Frequency-dependent underground cable model for electromagnetic transient simulation

Introduction to GIS.

Geospatial Positioning Accuracy Standards Part 3: National Standard for Spatial Data Accuracy

FUNDAMENTALS OF LANDSCAPE TECHNOLOGY GSD Harvard University Graduate School of Design Department of Landscape Architecture Fall 2006

Digital Photogrammetric System. Version USER MANUAL. Block adjustment

Monash University Clayton s School of Information Technology CSE3313 Computer Graphics Sample Exam Questions 2007

Common Core Unit Summary Grades 6 to 8

DISTRIBUTION OF LOADSON PILE GROUPS

RANDOM/GRID BLOCK CRACKING EXTREME SEVERITY. Transverse Cracking- Extreme Severity. Alligator Cracking- High. Severity

Mathematics. Mathematical Practices

An Introduction to Point Pattern Analysis using CrimeStat

5 Systems of Equations

GIS DATA SUBMITTAL SPECIFICATION

Mathematics (Project Maths)

REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS. Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 INTRODUCTION

How To Use Gss Software In Trimble Business Center

1.3. DOT PRODUCT If θ is the angle (between 0 and π) between two non-zero vectors u and v,

Coming To An Airport Near You

NJDEP GPS Data Collection Standards For GIS Data Development

3.1 Solving Systems Using Tables and Graphs

Metadata for Big River Watershed Geologic and Geomorphic Data

Call Center and Clearing System. ID Technologies Inc

Performance Level Descriptors Grade 6 Mathematics

Raster Data Structures

is the degree of the polynomial and is the leading coefficient.

GIS DATA STANDARD COMPLIANCE QC/QA PROCEDURES

Biggar High School Mathematics Department. National 5 Learning Intentions & Success Criteria: Assessing My Progress

MEng, BSc Applied Computer Science

Norwegian Satellite Earth Observation Database for Marine and Polar Research USE CASES

Creation of an Unlimited Database of Virtual Bone. Validation and Exploitation for Orthopedic Devices

TABLE OF CONTENTS. INTRODUCTION... 5 Advance Concrete... 5 Where to find information?... 6 INSTALLATION... 7 STARTING ADVANCE CONCRETE...

Future Landscapes. Research report CONTENTS. June 2005

with functions, expressions and equations which follow in units 3 and 4.

Essay 5 Tutorial for a Three-Dimensional Heat Conduction Problem Using ANSYS Workbench

= f x 1 + h. 3. Geometrically, the average rate of change is the slope of the secant line connecting the pts (x 1 )).

Trimble Field Link Software

Taking the pain out of Risk and Compliance Management Systems. Presented by Andrew Batten 23 April 2015

TOWARDS AN AUTOMATED HEALING OF 3D URBAN MODELS

The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION GEOMETRY. Thursday, August 16, :30 to 11:30 a.m.

Guidance for Flood Risk Analysis and Mapping. Quality Management

Ricardo Dias. Contacts. About me. (Born August 28th 1986, Portugal)

ANALYSIS 3 - RASTER What kinds of analysis can we do with GIS?

SolCAD: 3D Spatial Design Tool Tool to Generate Solar Envelope

Transcription:

DECART Quality Measurement Tools João João Matos, Alexandre Gonçalves, Ricardo Sousa, Jaime Martins Instituto Superior Técnico

MOTIVATION 0

TO ILLUSTRATE THE APPLICABILITY OF THE CONCEPTS IN: 19113 Quality Principles; 19114 Quality Evaluation Procedures. TO PRESENT AN EXPLORATORY STUDY ON THE STRUCTURE OF A GENERIC QUALITY EVALUATION SOFTWARE..

OBJECTIVES FOR A GENERIC QUALITY EVALUATION SOFTWARE EXEMPLIFICATION FOR REAL CASES PROTOTYPE OF DECART IN IN A CAD ENVIRONMENT PROTOTYPE OF DECART IN IN A GIS ENVIRONMENT

1 OBJECTIVES FOR A GENERIC QUALITY EVALUATION SOFTWARE

CONFORMANCE TO 19113,19114 USE OF THE QUALITY ELEMENTS AND SUBQUALITY ELEMENTS COMPLETENESS CONSISTENCY POSITIONAL ACCURACY TEMPORAL ACCURACY THEMATIC ACCURACY

CONFORMANCE TO 19113,19114 USE OF THE CONCEPTS QUALITY EVALUATION METHOD DIRECT EVALUATION --EXTERNAL EVALUATION --INTERNAL EVALUATION REPORTING AS METADATA OR Q.E. REPORT

OPERATIONAL ISSUES SIMPLE MEASUREMENTS (NOT (NOT DEPENDENT DEPENDENT OF OF EXPENSIVE, EXPENSIVE, UNAVAILABLE UNAVAILABLE OR OR COMPLEX COMPLEX REFERENCE REFERENCE MEASUREMENTS) MEASUREMENTS) AUTOMATION EASYNESS OF REPORTING INTEGRATION ON THE PRODUCT LIFECYCLE

OPERATIONAL CONSTRAINTS DEPENDENCY ON AN UNDERLYING SOFTWARE DEPENDENCY ON METADATA APPLICATION

OPERATIONAL CONSTRAINTS MANY RESULTS ARE LIKELY TO NEVER BE REPORTED (e.g. (e.g. SOME SOME TOPOLOGICAL CONSISTENCY RESULTS, FORMAT CONSISTENCY). QEP CAN LEAD TO A REPORT OR TO THE EXECUTION OF THE PROCEDURES LEADING TO THE CONFORMANCE

2 INTERNAL EVALUATION

SPECIFICATIONS LINES LINES IN IN LAYER LAYER abc abc SHOULD SHOULD FORM FORM CLOSED CLOSED POLYGONS POLYGONS LINES LINES IN IN LAYER LAYER def def SHOULD SHOULD FORM FORM A CONNECTED CONNECTED GRAPH GRAPH LINES LINES IN IN LAYER LAYER ghi ghi ARE ARE RED RED AND AND WITH WITH LINETYPE LINETYPE CONTINUOUS CONTINUOUS ALL ALL POLYGONS POLYGONS OF OF THE THE THEME THEME HOUSES HOUSES SHOULD SHOULD HAVE HAVE A SPOT SPOT HEIGHT HEIGHT INSIDE INSIDE RAILWAYS RAILWAYS DO DO NOT NOT INTERSECT INTERSECT HOUSES HOUSES ELEVATIONS ELEVATIONS ARE ARE ALLWAYS ALLWAYS HIGHER HIGHER THAN THAN 0 AND AND LOWER LOWER THAN THAN 2000M 2000M CONTOURS CONTOURS ARE ARE HORIZONTAL HORIZONTAL LINES LINES......

3 EXTERNAL EVALUATION

De validação da carta 1/1000 de Lisboa.

Completeness Coefficient ICIST C = Qr Q + Q o r *100 Qr - represented quantity Qo - ommited quantity De Estudo para Validação da Carta 1/1000 de Lisboa (PROET).

COUNT ICIST Result of counting the number of objects or components Zona Método Comprimento (m) nº de Pontos Área (ha) Nº Polígonos Nº de linhas I 121241 5689 6768 33 82 A II 118836 2139 6749 31 70 III 121686 2843 6777 36 134

ZONA OMITIDO REPRESENTADO nºentidades área omitida perímetro nº entidades área total perímetro total I 16 961 491 2352 119213 53960 II 13 4226 983 2399 162675 71902 III 5 113 94 2522 282084 90018 IV 4 64 59 4034 203210 96345 V 4 771 253 1341 153376 58991 Quadro 1 - Omissões em entidades do tipo polígono (área em m 2 e perímetro em m).

ZONA OMITIDO REPRESENTADO nºentidades comprimento nº entidades comprimento I 8 115 1781 15185 II 8 83 887 86805 III 2 25 807 27773 IV 0 0 957 25866 V 5 244 1341 33839

ZONA C nº área perímetro I 99,3 99,20 99,10 II 99,5 97,47 98,65 III 99,8 99,96 99,90 IV 99,9 99,97 99,94 V 99,7 99,5 99,57

BUFFERS ICIST Measurement of length inside the buffer Método 10m 20m 50m II-I 51% 84% 99% II-III 63% 92% 99% III-I 43% 77% 100%

A ICIST A ^~B ~A ^ B B B: A ^ B A: A ^ B

POSITIONAL ACCURACY X OMISSION ICIST 1 2 OBJECT X GRAPHICAL ELEMENT 2 1

1 2

PHOTOGRAMMETRIC SURVEY GROUND SURVEY ICIST De estudo para validação da carta 1/1000 de Lisboa (PROET/LTE). DIFFERENCE VECTORS (MAGNIFIED)

DISTANCE BETWEEN LINES ICIST MEAN OF THE DISTANCES IN VERTICES D D HAUSDORFF DISTANCE A B = A B = ( sup ( inf d ( x, y) )) x A y B ( sup ( inf d ( x, y) )) y B x A INNER AREA DISTANCE DH ( D A D ) = Max =, B B A

Different importance between systematic and random errors. 100m De estudo para a digitalização da REN (ICN).

TRANSFORMATION GAIN ICIST Diferença (Teste-Objecto) 26 24 22 20 18 16 14 12 10 8 6 4 2 0 G = n ( p' i pi p' i p i ) 1 n " i= 1 5 10 15 20 25 30 35 40 45 50 55 60 65 70 >70 Diferença (m) Transformação de 1º Grau Transformação de 3º Grau 26 24 22 20 18 16 14 12 10 8 6 4 2 0 26 24 22 20 18 16 14 12 10 8 6 4 2 0 5 10 15 20 25 30 35 >35 5 10 15 20 25 30 35 More Diferença (m) Diferença (m) x σ x y σ y d σ d Objecto -Teste 9.6 12.1 15.0 19.6 24.1 16.1 Objecto-P 1 (Teste) 0.0 8.8 0.0 11.9 11.9 8.5 Objecto-P 3 (Teste) 0.0 7.9 0.0 10.7 11.0 7.4

ABSOLUT ERROR DIAGRAM RELATIVE ERROR DIAGRAM

Mangualde Abs-ori 0-10 10-20 20-50 50-100 100-210 Mangualde Abs-Rel-Ori -150 - -50-50 - -25-25 - 0 0-25 25-50 50-150

Mangualde Abs-Grau3 0-10 10-20 20-50 50-100 100-220 Mangualde Abs-Rel-Grau3-150 - -50-50 - -25-25 - 0 0-25 25-50 50-150

THE SOFTWARE 4

INTERNAL EVALUATION BASED ON SPECIFICATIONS AUTOMATED 100% INSPECTION PASS/FAIL

EXTERNAL EVALUATION REFERENCE DATA IS IS REQUIRED NOT ENTIRELY AUTOMATED INSPECTION BY SAMPLING

RESULTS: CORRECTION/REPORTING CORRECTION TOOLS AVAILABLE REPORTING TOOLS