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Lecture 10 Data Sources & Data Entry

Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

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Page 1: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Lecture 10

Data Sources & Data Entry

Page 2: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Lecture Outline

I. Building a Spatial Dataset (Data Entry Considerations)A. Data SourcesB. Map ScaleC. Errors and Generalization

II. Digitizing (Data Entry)A. Heads-up (On-screen digitizing)B. Hardcopy map digitizingC. ScanningD. The Digitizing Process

III. Coordinate SurveyingIV. Heads-Up DigitizingV. Geocoding

Page 3: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Building a Spatial Dataset(Data Entry Considerations)

1. Determine what data you need and how you will get it.

2. Identify the scale of your data for mapping.

3. Evaluate errors and generalization with digital or hardcopy data.

4. Determine the extent of your mapping area

Page 4: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

1. Determine what data you need and how you will get it...

Common Spatial Data Sources:– Hardcopy Maps (Analog Maps)– Digital Data– Coordinate Surveying– GPS Units

Page 5: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

2. Project Scale

Determine scale of data sources.– Consider effect of scale on

data quality.– Large scale maps typically

have less error– Small scale maps typically

have more error

Identify the scale of your data for mapping.

Map Scale Error (Ft)

1:24,000 79

1:50,000 164

1:100,000 328

1:1,000,000 3,281

Surface error caused by a 1 mm (.039 inch) map error.

Page 6: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Coordinate Surveying

Creating spatial layers directly from field surveys.Often used for property lines.

Page 7: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

DigitizingThe process by which coordinates from a map, image, or other sources are converted into digital format in a GIS.

Digitizing Methods:Hard CopyHeads UpScanning

Page 8: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Hardcopy Map Digitizing

Human guided coordinate capture from a hardcopy map document.Typically employs a digitizing table or tablet.

Page 9: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Scan DigitizingScan imagery into a raster format and then convert into vector format.Often used in conjunction with on-screen digitizing as much cleanup is required.

Skeletonizing

Page 10: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

On-Screen (Heads-up) Digitizing

Data are digitized on screen without a digitizing board.More common method

Page 11: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Steps in On-Screen Digitizing

1. Create a new data layer you will digitize into.

2. Add the data layer and digital spatial source (i.e. an aerial photo) to ArcMap.

3. Trace the location of feature boundaries by specifying the location of nodes and vertices.

4. Correct errors

Page 12: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Data Creation

Tracing in nodes and vertices:

Point Mode Stream Mode

Page 13: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

EditingUsed to update and fix errors and inconsistencies in data.Examples: undershoots, overshoots, overlaps, etc.Often, printing out maps helps to identify errors you might otherwise miss.Editing Tools– Select, split, update, merge and delete

features.Advanced Editing Tools: – View Toolbars Advanced Editing

Page 14: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Digitizing Errors

Digitizing Errors:

Page 15: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Field Creation

In ArcCatalog– Access Layer Properties

In Arcmap– Stop editing– Open the attribute table– Go to Options…Add Field

Page 16: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Avoiding Digitizing Errors

Running Topology

Set Snapping Options!

Page 17: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Topology

Relationship between featuresHelps to keep data clean.In ArcGIS…applied to vector data models.

Page 18: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Geocoding (Linear Referencing)

The process of spatially referencing addresses.Only as accurate as your reference data set. – Ex. Streets layer.

Page 19: Lecture 10 - California State University, Northridgedlb10399/Docs/Geog206_Spring09/Lectures/Lecture10.206_09.pdfLecture Outline I. Building a Spatial Dataset (Data Entry Considerations)

Geocoding in ArcGIS

1. Obtain reference data source (Ex. street centerlines)

2. Format/Prep address table3. Create an Address Locator Service4. Geocode Addresses5. Verify/Review geocoding process6. Re-match addresses if needed