Introduction to GIS and Its Applications

An integrated collection of software and data for geographic management and analysis.

The essential parts of GIS include software, data, users, and hardware.

Connections and patterns observed in the location and arrangement of geographic features.

Simulating how geographic factors interact and change over time.

A structured approach to gather, store, and analyze geographic information.

The process of saving spatial and non-spatial data for future use in GIS projects.

The process of examining and interpreting data to derive meaningful insights.

Engagement of local people in the decision-making process regarding development plans.

Providing information and visualizations to aid in making informed decisions.

Individuals who define and develop procedures for using GIS effectively.

Systematic steps ensuring high-quality results from GIS operations.

Physical devices that determine the performance and speed of GIS operations.

Representations of physical entities and their relationships within a spatial database.

Automatically created settings for each editable layer in GIS maps.

Settings that control layer storage, attributes, and feature creation tools.

Functions that align features during editing to avoid errors.

The specified distance within which features align when editing.

Information attached to spatial features, stored in attribute tables.

Selecting features based on criteria set in their attribute data.

Using SQL to specify criteria for selecting features in GIS.

A technique to integrate spatial data with other datasets for analysis.

A cell represents a specific area of the earth, like a square meter or mile.

An image is a 2D representation; a raster is a data model in rows and columns.

Rasters can have multiple bands of data, each at a different wavelength.

Information in rasters is stored in cells, averaged over the space they cover.

Resolution is determined by the size of the cells; smaller cells yield more detail.

Rasters can store continuous (e.g., temperature) or discrete (e.g., soil types) data.

A type of elevation raster where cell values display elevation in meters.

Print maps converted to rasters through scanning, resembling static images.

Functions that modify cell values based on themselves and immediate neighbors.

Basic mathematical operations like addition, subtraction, multiplication, and division for cell values.

Applying conditions like greater than or less than to modify cell values.

Changing cell values based on specific criteria for simplification.

Analyze raster cell values considering a specified area around them.

Operate on cell groups that share a common characteristic for statistics.

Calculate distances from each cell to target cells for proximity analysis.

Consider the entire raster dataset for comprehensive analysis.

A tool that integrates mapping features into Power BI for visualization and analysis of data.

Settings in ArcGIS for customizing map visuals like layers, colors, and tools in Power BI.

Features that allow users to analyze data through spatial selections and demographic insights in Power BI.

A feature that allows users to click on a map to view more detailed data layers.

A data format used to represent geographic features compatible with mapping applications like Mapbox.

The ability of maps in Power BI to allow user engagement, such as selecting locations or exploring data.

The last step in creating a Power BI report involving mapping, which includes configurations and publishing.

Using maps and visuals to effectively communicate insights for informed decision-making in Power BI.