NR 422- Project Management

Jim Graham

Spring 2010

Credit

• Always give credit to your sources– Name, organization, URL, etc.– To not do so:

• In school is cheating• Out side school; it’s against the law

• You are required to do your down work– Data can be created as a team– Each final product must be assembled

individually

Dave’s Book – GIS Review

• Chapter 1: All

• Chapter 2: 2.1, 2.2.1, 2.5

• Chapter 3: All

• Chapter 4 to 4.2.2– Also: 4.2.6, 4.6

Standard Map Elements

• Title

• Maps

• Legend

• North Arrows

• Scale Bars

• Sources, author(s)

• Projection, Datum

• Regional Map

http://www.nps.gov/pefo/planyourvisit/cultural-demonstrations.htm

http://www.nps.gov/pefo/planyourvisit/cultural-demonstrations.htm

http://www.nps.gov/pefo/planyourvisit/cultural-demonstrations.htm

http://www.nps.gov/pefo/planyourvisit/cultural-demonstrations.htm

GIS Professional

• Produce GIS reports, articles, posters, and web sites that are:– Accurate & Precise– Astatically pleasing– Informative– Legal– Include the standard cartography elements:

• Spatial data, legends, scale bars, north arrows, regional maps, credits, author(s), and projection & datum

• Are recognized as authors!

GIS Data

• Attributes (dbf)

• Spatial Data (shp)

• Metadata (xml)

• Projection (prj)

• Joins and Relationships

• Processing Models

• Layer files: Symbology

Various Formats

• Shapefile

• Coverage

• Rasters

• GeoDatabases

• All can be thought of as:– Spatial data – Attribute table

Definitions• Shape

– Points, polylines, or polygons describing one feature on the earth

• Feature– A Shape with attributes

• Feature class – one type of feature (point, polygon, polyline)

• Collection of features– Group of features of the same type (Shapefile)

• Dataset– Set of related collections of features (i.e. the

Shapefiles for Rocky)

Arc Data Storage

Shapefiles Coverages GeoDatabases

Collection of datasets

Folder of Shapefiles

ArcInfo Workspace

GeoDatabase

Dataset Folder of Shapefiles

Coverage Feature dataset

Collection of features

Shapefile Feature class Feature class

Features Point, Multipoint, Polygon, Polyline

Point, Polygon, Polyline, etc.

Point, Multipoint, Polygon, Polyline, Network Annotation

GIS Data Flow

Project, resample

ProcessingProcessed

Data

OriginalData

Final data, mapsTables, text

Analysis

Project Organization

• Project– Original Data

• Workspace for Coverages (folder)• Folders based on topic

– Processing Data• Folders based on projection/datum

– Folders based on topic

– Final Data• Folders based on projection/datum

– Folders based on topic

GIS Data Organization

• One project– Original Data– Processing– Final data

• Multiple projects– Each projects data– Reused data

• Original Data• Processing• Final data

The 7 Habits of Highly Effective People

• 1. Be Proactive

• 2. Start with the end in mind

• 3. Put First Things First

• 4. Think Win-Win

• 5. Seek First to Understand, Then to be Understood

• 6. Synergize

• 7. Sharpen the Saw– Steven Covey

Scheduling

• Define the deliverables/products

• Document the deadline

• Work backwards

• Multiply the schedule by 1+?

Schedule

1. Deadline and deliverables/products

2. Reviews and updates

3. Creating documents (inc. web sites)

4. Analysis

5. Processing

6. Data preparation

7. Acquiring data

8. Proposal review

9. Proposal process

Jim’s Habits

• Panic up front – when it will make a difference

• Check your resources

• Have backups

• Don’t stay stuck (20 minutes)

• Do what it takes to deliver

• Find out what customers really want

• Do the right thing

• Model the behavior you want in others

The Tire Swing

What the customerneeded

What wasdesigned

What marketing suggested

What management approved

What was delivered

Alan Chapman, http://www.businessballs.com/treeswing.htm

Documentation

• Maintain Metadata throughout the project– Make notes in “readme.txt” files in each

folder– Go back and fill in the metadata when you

have time

• Critical:– Sources: location and names– Accuracy, Precision, Error Rate

Working with Others

• Listen, really listen

• What is important to them?

• Divide up tasks:– Large enough for each person to make

progress– Fit the task to the person– Coordinate, don’t micro manage– Check on progress: weekly to monthly

Budgets

• Overhead: ~50%– Administration– Physical Space– Networks/Internet– Phones– Office Supplies– Heating & Cooling

• People– Salary– Benefits

• Computers• Data

– Remotely sensed– Field data collection

• Printing