Week 6.2

Flashcards designed to cover key terms and concepts related to the Geography 280 course, focusing on spatial thinking, data quality, and geospatial technologies.

Open Data

Data that can be freely used, modified, and shared by anyone for any purpose.

Coordinates Precision

The number of digits in coordinates signifies the accuracy of specified locations, ranging from general areas to specific details.

Null Value

A representation for missing data; means data wasn't collected or is absent, and should not be confused with zero.

Missing Data

Data that is not present in the dataset due to various reasons; often recorded as a null value or left blank.

Data Quality Checking (QC)

The process of verifying the quality and integrity of data to ensure it is suitable for analysis.

Centroid

The geometric center of a shape; can be either contained within specified features or located at the true geometric centroid.

Metadata

Data about data; provides information about a dataset, including its source, update frequency, and relationships to other datasets.

Attribute Selection

Choosing specific data attributes for analysis; important for maintaining dataset quality and coherence.

CSV (Comma Separated Values)

A file format used to store tabular data, where values are separated by commas, making it easy to import into software like ArcGIS.

Data Aggregation

The process of combining data from different sources into a single dataset, which can introduce inconsistencies if not carefully managed.

Geospatial Technologies

Technologies used for gathering, analyzing, and interpreting data related to the Earth's surface and geographic locations.

Quality Dataset

A dataset that has consistent formatting, correct data types, and is free from errors such as typos and unnecessary spaces.

Attribute Data

Data that describes the characteristics of spatial features in a dataset, typically presented in tabular form.

Analysis Limitations

Constraints or requirements inherent to certain data analyses that must be considered to avoid errors or misinterpretation.

Floating Point Variables

Data types that represent decimal numbers; often used for storing coordinates or other measurements that require precision.