intersection analysis

USAGE SUMMARY

The phrase "intersection analysis" is correct and usable in written English.
It can be used in contexts such as data analysis, research, or discussions involving the examination of overlapping areas or relationships between different sets of data or concepts. Example: "The intersection analysis revealed significant correlations between the two variables that were previously thought to be unrelated."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

46 human-written examples

Intersection analysis, which identifies all pairs of intersected fractures (the basic components composing the connectivity of a network), is one of its crucial procedures.

International Journal of Coal Science & Technology

However, the point P12 is almost ready to use because its coordinate is merely the average of both ends of the intersected line that have been calculated in the process of precise intersection analysis.

International Journal of Coal Science & Technology

This paper attempts to improve intersection analysis through parallel computing.

International Journal of Coal Science & Technology

Moreover, several modifications were proposed to optimize the procedure of intersection analysis.

International Journal of Coal Science & Technology

The essence of intersection analysis is quantifying the spatial relation between two individual fractures.

International Journal of Coal Science & Technology

Thus, the task for intersection analysis is transformed into a geometrical computation on pairs of disc-shaped objects.

International Journal of Coal Science & Technology

Human-verified similar examples from authoritative sources

Similar Expressions

14 human-written examples

These tools allow for evaluation of crossover errors at intersections, analysis of such crossover errors to determine appropriate linear models of systematic corrections for each track, and application of these corrections and further adjustments to data that completely eliminates crossover discrepancies from final 2-D data compilations.

Computers & Geosciences

The advantages of pathway intersections analysis include: revealing whether different cancers have same chemoresistant mechanisms, and determining whether some common genes involved in these chemoresistant mechanisms.

BMC Medical Genomics

The purpose was to model gap acceptance behavior of drivers and to find the critical gaps which are widely used in the intersection operational analysis and capacity estimates.

Journal of Modern Transportation

In general, the purpose of intersection safety analysis is to determine the impact of safety-related variables on pedestrians, cyclists and vehicles, so as to facilitate the design of effective and efficient countermeasure strategies to improve safety at intersections.

Journal of Traffic and Transportation Engineering (English Edition)

The decision-making criterion is determined based on intersection point analysis between the probability of large-level total agro-economic loss and the ratio of total to maximum agro-economic output by satisfying environmental flows.

Journal of Hydrology

Expert writing Tips

Best practice

When using "intersection analysis", clearly define the sets or data being analyzed to avoid ambiguity. For instance, specify whether you're analyzing genes, spatial data, or other types of variables.

Common error

Avoid using "intersection analysis" without specifying what is being intersected. Be explicit about the datasets, variables, or concepts under consideration to provide context and clarity.

Linguistic Context

The phrase "intersection analysis" functions as a noun phrase, often serving as the subject or object of a sentence. Ludwig AI suggests it's grammatically sound, often denoting a process of identifying common elements or overlaps between datasets or concepts. The phrase describes a specific analytical method.

Expression frequency: Very common

Frequent in

Science

98%

Formal & Business

1%

Wiki

1%

Less common in

News & Media

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "intersection analysis" is a grammatically sound and frequently used term, primarily in scientific and technical domains. Ludwig AI confirms its correctness and usability. This phrase denotes a specific analytical method for identifying common elements or overlaps between datasets. To maximize clarity, it's crucial to define the scope of analysis and specify the datasets or concepts being compared. Related terms include "overlap analysis" and "convergence analysis". Key applications span genetics, spatial data analysis, and general data comparison, making it a versatile tool in research and analytical contexts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

overlap analysis

Focuses on the degree to which sets of data or concepts share common elements.

convergence analysis

Emphasizes the process of different elements coming together or aligning.

coincidence assessment

Highlights the evaluation of events or data occurring at the same time or in the same space.

commonality study

Focuses on identifying shared traits or characteristics between different entities.

correlation analysis

Examines the statistical relationship between two or more variables.

alignment evaluation

Focuses on assessing the degree to which different elements are in agreement or properly positioned.

confluence investigation

Highlights the merging or flowing together of different elements.

joint assessment

Implies a combined evaluation of different aspects or elements.

integrated analysis

Focuses on combining different elements or perspectives for a comprehensive understanding.

cross-sectional analysis

Focuses on data collected at one point in time to analyse the relationships among variables.

FAQs

How is "intersection analysis" used in genetics?

In genetics, "intersection analysis" is used to identify overlapping genes or regulatory regions, such as in ChIP-seq experiments where researchers might use it to find common binding sites for different proteins. For example, "peak intersection analysis" can show where transcription factors bind in common.

What does "intersection analysis" mean in spatial data analysis?

In spatial data analysis, "intersection analysis" identifies where different spatial features overlap, such as determining which properties fall within a flood zone. This is a fundamental step in many GIS workflows.

How does "intersection analysis" differ from "regression analysis"?

"Intersection analysis" focuses on identifying common elements between datasets, while "regression analysis" examines the statistical relationship between variables. "Intersection analysis" finds overlaps; "regression analysis" models dependencies.

What are some tools used for "intersection analysis"?

Tools for "intersection analysis" include software like intersectBed for genomic data, GIS software for spatial data, and various statistical packages for set theory operations. The choice of tool depends on the type of data being analyzed.