Geoprocessing_in_ArcGIS_Tutorial.pdf

ArcGIS ® 9

Geoprocessing in ArcGIS ®

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DATA CREDITS

Geographic data used in the quick-start tutorial provided courtesy of San Diego Association of Governments (SANDAG) and is used herein with

permission.

Some of the illustrations in this work were made from data supplied by Collins Bartholomew Ltd.; IHS Energy; Riley County, Kansas, GIS; and

SANDAG. They are used herein with permission.

AUTHOR

Jill McCoy

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Quick-start tutorial

IN THIS CHAPTER

This tutorial will take you on a tour of the geoprocessing functionality within

ArcGIS as you find areas in San Diego County with the best potential to

support the California gnatcatcher (Polioptila californica).

The California gnatcatcher is a small nonmigratory songbird that resides

predominantly in southwestern California and northwestern Baja. The

gnatcatcher population has been in decline over several decades because of

extensive habitat loss due predominantly to urbanization. Most habitats are

fragmented by roads; building tracts; and other barriers insurmountable to the

small, weak-flying bird. The species is listed as threatened and is dependent

upon certain vegetation types for its survival.

The goal of this tutorial is to find patches of potentially high-quality habitat—

patches that contain features essential to the conservation of the species—

then to identify which patches would be impacted by proposed roads. New

roads will only serve to further fragment these fragile regions, so those high-

quality habitat patches that will be impacted need to be identified.

In achieving the above goal, you will learn how to:

• Run geoprocessing tools through dialog boxes and the command line.

• Create models inside, and add scripts to, toolboxes.

By following the tutorial, you’ll quickly learn how to perform your own

geoprocessing tasks with ArcGIS. Included is an estimate of the time it will

take to complete each exercise. You can work through the entire tutorial or

complete each exercise one at a time. Although recommended, you don’t

have to complete the exercises in sequence.

• Exercise 1: Finding coastal sage

scrub near proposed roads

• Exercise 2: Joining fields to the

vegetation data

• Exercise 3: Clipping data to the

study area

• Exercise 4: Finding high-quality

habitat patches

• Exercise 5: Finding habitat

patches impacted by proposed

roads

Tutorial requirements

Data

Description

• It is assumed that you have installed ArcGIS Desktop before

beginning this tutorial.

• You can perform Exercise 1 with an ArcView, ArcEditor, or

ArcInfo license. The rest of the exercises require an ArcInfo

license.

• The data required is included on the ArcGIS Desktop CD.

After running the ArcGIS setup, on the Additional Installation

Components dialog box, check to install the ArcGIS Tutorial

Data. In the ArcGIS Tutorial Data Setup wizard, select to

install the Geoprocessing data (the default installation path is

arcgis\ArcTutor\Geoprocessing) on the drive where the

tutorial data is installed.

Climate.shp, futrds, majorrds.shp, study_quads.shp, vegtype,

and vegtable.dbf were provided courtesy of the San Diego

Association of Governments (SANDAG) for educational

purposes only. The data has been manipulated for the

purpose of the tutorial. Assumptions applied and actual

outcomes may vary. ESRI is not inviting reliance on this data

or the methodologies followed. You should always verify

actual data and exercise your own professional judgment

when interpreting any outcomes.

climate.shp

General climate zones.

elevlt250.shp

Areas where the elevation is less than

250 m. This shapefile was derived from

a United States Geological Survey

(USGS) digital elevation model (DEM).

futrds

A geodatabase feature class of all

proposed freeways and roads.

habitat_analysis.mdb

A personal geodatabase containing

the feature classes futrds and vegtype.

majorrds.shp

All major roads and freeways.

multi_clip.py

A Python script used to clip multiple

feature classes and place them into a

personal geodatabase.

query.txt

Includes an expression that can be

copied and pasted into the expression

box on the Select tool’s dialog box

used in Exercise 4. It can be used as an

alternative to the Query Builder or

typing the expression.

slopelt40.shp

Areas where the slope of the land

is less than 40 percent. This shapefile

was derived from a USGS DEM.

study_quads.shp

The study area. USGS 7.5 quad

boundaries covering the towns of

La Jolla and La Mesa in San Diego

County.

vegtype

A geodatabase feature class of

vegetation type information.

G EOPROCESSING IN A RC GIS

vegtable.dbf A table containing fields that will be

joined to a layer you’ll create from

vegtype. The fields include a

vegetation description field and a

field indicating whether the vegetation

type is suitable for habitation by the

gnatcatcher.

The ArcCatalog ™ tree provides access to datasets stored on

disk. In the ArcCatalog tree, click a dataset, then click the

Metadata tab to explore the metadata (information) of each

dataset in detail. Explore metadata for the tutorial folder to gain an

overview of the data contained in the folder and how it was

created.

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