Course Project: AT319 Lab 04 Attribute and Spatial Analysis Concepts

I. Intro

Date: 02/08/2023

During the first lab, we went through how to query out the data we want.

II. Querying Data

A. Attribute Field, Attribute Value, and Operator

  1. The field is the category of each set of data, value is the actual information with in the field. The operator helps us to find the values we want. 
  2. Select the value for “heights of males are larger than 6 feet.”
  3. Height of male: the attribute field determines which field to query in the attribute table. 
  4. 6 feet: the attribute value identifies the value that you are searching for in each record of the attribute table.
  5. Larger than: the operator represents the measurement that you will use to query a selection of features.
Figure 1: Given a data set, querying out the hospitals that has greater or equal to 200 flu shots

III. Spatial Relationships

  1. Touch: Any part of a feature from the first feature class must contact the boundary of a feature from the second feature class.
  2. Contain: A feature from the first feature class completely encloses a feature from the second feature class.
  3. Intersect: Features from the first feature class that come into contact with any part of a feature from the second feature class. 
  4. Within: Similar to the contains spatial relationship, the within spatial relationship is when a feature from the second feature class completely encloses a feature from the first feature class. 
  5. Cross: A feature from the first feature class comes into contact with the interior or boundary of a feature from the second feature class.
  6. Overlaps: The interior of a feature from the first feature class partly or completely covers a feature from the second feature class. 
Figure 2: Given a data set, selecting features by location. Input features: Wilderness_BLMWSAs; Selecting features: SanRafaelDesert

IV. Spatial Analysis

A. Six spatial analysis categories

  • Understand where.
  • Measure size, shape, distribution
  • Determine how places are related
  • Find the best locations and paths
  • Detect and quantify patterns
  • Make predictions

B. Spatial Analysis Workflow  

  • Ask questions
  • Explore and prepare data
  • Analyze and model
  • Interpret results
  • Repeat or modify
  • Present results
  • Make decisions
Figure 3: Given a data set, find the farmer’s market within a given range. 

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