Tuesday, May 3, 2011

What is GIS?

GIS is a computer system for capturing, storing, checking, integrating, manipulating, analysing and displaying data related to positions on the Earth's surface. Typically, a Geographical Information System is used for handling maps of one kind or another. These might be represented as several different layers where each layer holds data about a particular kind of feature. Each feature is linked to a position on the graphical image on a map and a record in an attribute table. GIS can relate otherwise disparate on the basis of common geography, revealing hidden patterns, relationships, and trends that are not readily apparent in spreadsheets or statistical packages, often creating new information from existing data resources.

Hidden in most data is a geographical component: an address, postal code, census block, city, county, or latitude/longitude coordinate. With GIS, you can explore the spatial element of your data to display soil types, track crime patterns, analyze animal migration patterns, find the best location for an expanding business, model the path of atmospheric pollution, and make decisions for many types of complicated problems.

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Saturday, April 30, 2011

How to edit attributes

How to add the data you want to edit
Start ArcMap.

Click the Add Data button .

Navigate to the location of your data and click Add.

Editing attributes in the Attributes dialog box
Click the Editor menu and click Start Editing.

Click the Edit tool on the Editor toolbar.

Select the features whose attributes you want to edit.

Click the Attributes button on the Editor toolbar.

Click the feature on the left side of the dialog box.

The layer's attribute properties appear on the right side of the dialog box, and the feature flashes on the map.

Click in the Value column on the right side and type the attribute value.

Press Enter.

Click the Close button to close the dialog box.

Monday, November 29, 2010

Uses of GIS in public health

• Determining geographic distribution of diseases
• Analysing spatial and temporal trends
• Mapping populations at risk
• Stratifying risk factors
• Assessing resource allocation
• Planning and targeting interventions
• Monitoring diseases and interventions over time