Related Experiment Video

Updated: Sep 20, 2026

Design and Construction of an Urban Runoff Research Facility
13:48

Design and Construction of an Urban Runoff Research Facility

Published on: August 8, 2014

Do metropolitan areas mean anything? A research note

E S Mills

    Journal of Regional Science
    |August 1, 1990
    PubMed

    Keywords:
    AmericasCentral CityDemographic FactorsDeveloped CountriesEstimation TechnicsGeographic FactorsNorth AmericaNorthern AmericaPopulationPopulation DynamicsPopulation GrowthResearch MethodologySpatial DistributionSuburbanizationUnited StatesUrban Spatial DistributionUrbanization

    More Related Videos

    Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System10:17

    Cities As Interfaces of Zoonotic Hazard Emergence: Development of the New York City Tick and Wildlife Urban Surveillance System

    Published on: March 10, 2026

    Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation09:50

    Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation

    Published on: June 5, 2026

    Related Concept Videos

    Measures of Central Tendency02:16

    Measures of Central Tendency

    The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."
    What is Central Tendency?01:14

    What is Central Tendency?

    Descriptive statistics describe or summarize relevant characteristics of a sample and aid in the analysis of data of interest. When analyzing large quantities of data and developing an inference, one needs to identify a value representative of the entire data set. Characteristics such as central tendency, extreme values, range of measurements, or the most repeated value can help better understand the data.
    The central tendency is the most conventionally used data characteristic. It is a...
    Central Tendency: Analysis01:10

    Central Tendency: Analysis

    Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
    The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
    The median, another measure,...
    Levels of Use of a GIS01:29

    Levels of Use of a GIS

    Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
    Selected Data About Geographic Locations01:25

    Selected Data About Geographic Locations

    Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
    Manipulation and Analysis01:21

    Manipulation and Analysis

    GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...