Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

119
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...
119
Thematic Layering in GIS01:30

Thematic Layering in GIS

123
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
123
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

241
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
241
z Scores and Unusual Values01:07

z Scores and Unusual Values

10.7K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
10.7K
Coordinate Plane01:21

Coordinate Plane

36
The Cartesian coordinate plane is a fundamental structure in mathematics that enables the visualization of relationships between numerical values in two dimensions. It is formed by two intersecting number lines: a horizontal x-axis and a vertical y-axis. These axes meet at the origin, the point where both values are zero. Their intersection divides the plane into four quadrants labeled in a counterclockwise direction starting from the upper right.An ordered pair of numbers represents every...
36
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

8.8K
A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
8.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Establishment of a longitudinal pre-clinical model of lyssavirus infection.

Journal of virological methods·2020
Same author

The C Terminus of the Herpes Simplex Virus UL25 Protein Is Required for Release of Viral Genomes from Capsids Bound to Nuclear Pores.

Journal of virology·2017
Same author

Subaperture stitching tolerancing for annular ring geometry.

Applied optics·2015
Same author

Binary pattern deflectometry.

Applied optics·2014
Same author

Recombinant Hendra viruses expressing a reporter gene retain pathogenicity in ferrets.

Virology journal·2013
Same author

Vector competence of Australian mosquitoes for chikungunya virus.

Vector borne and zoonotic diseases (Larchmont, N.Y.)·2009
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 2025

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
14:03

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

Published on: December 5, 2013

11.2K

2D zonal integration with unordered data.

Greg A Smith

    Applied Optics
    |June 18, 2021
    PubMed
    Summary
    This summary is machine-generated.

    A new zonal integration algorithm accurately computes 2D gradient data for slope-measuring instruments. This method handles unordered data and arbitrary locations without iteration, improving accuracy for optical measurements.

    More Related Videos

    Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
    07:40

    Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

    Published on: May 16, 2025

    624
    Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
    09:56

    Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

    Published on: April 30, 2019

    6.7K

    Related Experiment Videos

    Last Updated: Nov 1, 2025

    Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
    14:03

    Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

    Published on: December 5, 2013

    11.2K
    Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
    07:40

    Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

    Published on: May 16, 2025

    624
    Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
    09:56

    Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

    Published on: April 30, 2019

    6.7K

    Area of Science:

    • Optical instrumentation
    • Computational geometry
    • Numerical analysis

    Background:

    • Numerical integration of 2D gradient data is crucial for slope-measuring optical instruments.
    • Current methods suffer from low accuracy and data location constraints.
    • A need exists for a robust and generalized integration technique.

    Purpose of the Study:

    • To develop a generalized numerical integration algorithm for 2D gradient data.
    • To overcome limitations of existing methods regarding accuracy and data arrangement.
    • To enable accurate slope measurements from arbitrary, unordered data points.

    Main Methods:

    • The zonal integration algorithm utilizes Taylor series approximations for finite difference calculations.
    • It processes unordered data without requiring iteration.
    • Least-squares matrix calculations form the core of the solution process.

    Main Results:

    • The algorithm achieves simultaneous integration and interpolation.
    • High accuracy is demonstrated across various data configurations.
    • Arbitrary data locations are effectively handled, overcoming previous restrictions.

    Conclusions:

    • The zonal integration algorithm offers a significant advancement in processing 2D gradient data.
    • It provides a generalized, accurate, and flexible solution for optical instrument applications.
    • This method enhances the reliability and applicability of slope-measuring technologies.