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

Manipulation and Analysis01:21

Manipulation and Analysis

28
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...
28
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

51
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
51
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

55
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
55
Survey Safety01:28

Survey Safety

31
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
31
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

63
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
63
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

28
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...
28

You might also read

Related Articles

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

Sort by
Same author

ProtDML: label-aware representation learning for broad-spectrum protein function prediction.

Briefings in bioinformatics·2026
Same author

Entropy-Modulated Oxide-Metal Catalyst Architectures for Direct Ammonia Protonic Ceramic Fuel Cells.

Nano-micro letters·2026
Same author

Perfluoropentane Phase-Change Nanodroplets for Focused Ultrasound-Enhanced Drug Penetration and Immune Response.

Pharmaceutics·2026
Same author

Highly efficient, deep-ultraviolet luminescence in hBN moiré quantum wells.

Science (New York, N.Y.)·2026
Same author

Ultrasound-Sensitive Liposomal Exatecan for Tumor-Specific Drug Release for Treatment of Pancreatic Cancer.

Pharmaceutics·2026
Same author

Reversible Hydrogen Spillover: Adsorption-Desorption Site Reversal in HER.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: Jul 12, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K

Hotspots-based patrol route optimization algorithm for smart policing.

Dongyeon Kim1, Yejin Kan2, YooJin Aum3

  • 1Department of Artificial Intelligence, Seoul, 04620, Korea.

Heliyon
|November 2, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a big data model for efficient emergency response by predicting crime hotspots and optimizing patrol routes. The aim is to enhance smart policing through data-driven crime prevention strategies.

Keywords:
Genetic algorithmHotspots policingPatrol route optimizationPolice science

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

590

Related Experiment Videos

Last Updated: Jul 12, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

590

Area of Science:

  • Criminology
  • Data Science
  • Public Policy

Background:

  • Smart policing, utilizing big data analysis, is crucial for sustainable police policy development.
  • Despite recognizing the need for smart policing, South Korean police face challenges in applying data analysis results to practical crime prevention policies.
  • Existing applications focus on crime investigation, such as case linkage and suspect/crime location prediction, rather than policy implementation.

Purpose of the Study:

  • To propose a novel big data model for optimizing emergency call response.
  • To enhance the efficiency of police patrols through data-driven insights.
  • To bridge the gap between data analysis and practical police policy in crime prevention.

Main Methods:

  • Extracting crime hotspots by analyzing the association between community environment data and crime data.
  • Developing a route optimization algorithm to determine the shortest travel time to predicted crime locations.
  • Assessing the performance of patrol routes by incorporating real-time traffic information.

Main Results:

  • Identification of predicted criminal activity hotspots through data analysis.
  • Development of an optimized routing algorithm for emergency response.
  • Evaluation of patrol route efficiency considering dynamic traffic conditions.

Conclusions:

  • The proposed big data model offers a framework for efficient emergency response and smart policing.
  • Adaptation of this model could significantly improve the effectiveness of current police patrol systems.
  • This data application model has the potential for widespread adoption by police departments to enhance public safety.