Sunday, September 19, 2010

Saturday, September 4, 2010

Screen Shot of db


Process Summary

Public Health

P. Hunter Key

Updated 09/04/10

1. Examine and import all Relevant data

a. Roads – (large Dataset will need to clip to work with )

b. County, State and National Shape files

c. San Francisco Bay area data includes

i. Airports

ii. Landpts

iii. Railroads

iv. DEM

v. GeogNames

vi. LandCover

vii. NHD1805

viii. OrthoImager

ix. Geonames

d. Web sites include Census, Bay Area Air Quality

2. Create Working DB named AsthmaProject090410

a. Create Enviornment Settings

i. Coordinate System – NAD_1983_UTM_10N

ii. Scratch and Current Workspace AsthmaProject090410

iii. Additional settings may be required later

3. Import Tables and Feature Classes into AsthamaProject090410

a. Tables

i. Ozone – Monthly Station monitoring

ii. PM2 – Continuous

iii. Asthma Rates

b. Feature Class Imports

i. Bay Area Counties – Clipped, Re-projected to 10N and imported

ii. Roads- Clipped, Re-projected to 10N and imported

iii. Railroads, Airports and POI

4. Prepare Base Map of Study Area as Template for Project.

Metadata

Layer

Data Type

Public Information

Time Period

Spatial Horizontal Coordinate System

Attribute Description

Air Monitoring Stations

Pt

California Air Resources Board

10/27/2004

NAD 1983 UTM 10N

Station information

Airports

Pt

NIMA

10/31/2002

NAD 1983 UTM 10N

Californian Airports

Landpts

pt

US dept of Commerce

2002

NAD 1983 UTM 10N

Bay area Points of interest

Railroads

line

US geological Survey

12/1998

NAD 1983 UTM 10N

Bay area Railroads

BayArea Counties

polygon

ESRI

2006

NAD 1983 UTM 10N

Clip of San Francisco Bay counties

roads

line

USGS & US Dept of Transportation

1999

NAD 1983 UTM 10N

Bay area Roads

Saturday, July 24, 2010

Module 5 LIDAR & Filtering




I applied a hillshade to get a little more definition to the image, but having never been to Pensacola was a little disoriented on the Feature labeling.