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

Survival Tree01:19

Survival Tree

85
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
85
Levels of Use of a GIS01:29

Levels of Use of a GIS

52
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...
52
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

66
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
66
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

60
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
60
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

47
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
47
Thematic Layering in GIS01:30

Thematic Layering in GIS

37
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)...
37

You might also read

Related Articles

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

Sort by
Same author

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications.

Proceedings of machine learning research·2026
Same author

GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction.

Proceedings. IEEE International Conference on Data Mining·2026
Same author

ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

One Model, Many Cities: A Transferable Social Relationship Inference Framework for Human Mobility Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series.

Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data·2026
Same journal

Efficient 3D Spatial Queries for Complex Objects.

ACM transactions on spatial algorithms and systems·2022
See all related articles

Related Experiment Video

Updated: Jul 2, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

HTF: Homogeneous Tree Framework for Differentially-Private Release of Large Geospatial Datasets with Self-Tuning

Sina Shaham1, Gabriel Ghinita2, Ritesh Ahuja1

  • 1University of Southern California, USA.

ACM Transactions on Spatial Algorithms and Systems
|February 22, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for creating accurate, differentially private histograms from location data. The approach optimizes data partitioning for density homogeneity, improving privacy and utility for location-based services.

Keywords:
Differential PrivacyLocation Protection

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.0K

Related Experiment Videos

Last Updated: Jul 2, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.0K

Area of Science:

  • Computer Science
  • Data Privacy
  • Geospatial Analysis

Background:

  • Location data in mobile apps is widely used across various sectors like transportation and healthcare.
  • Statistical queries on location data, such as identifying user hotspots, are crucial but raise privacy concerns.
  • Existing differentially private histogram methods often sacrifice accuracy due to data-independent noise addition.

Purpose of the Study:

  • To develop a novel data-dependent approach for generating accurate differentially private histograms.
  • To address the limitations of existing methods in balancing privacy and accuracy for location data.
  • To optimize the partitioning strategy for enhanced histogram utility under differential privacy.

Main Methods:

  • Proposed a data structure that partitions spatial data based on density homogeneity.
  • Introduced a self-tuning mechanism to optimize partitioning depth and privacy budget allocation.
  • Developed an optimization for scaling the approach to large-scale real-world datasets.

Main Results:

  • The proposed method significantly improves the accuracy of differentially private histograms compared to existing techniques.
  • Demonstrated superior performance on large-scale, real-world location datasets.
  • The density homogeneity-based partitioning effectively balances privacy and utility.

Conclusions:

  • The novel approach offers a more accurate and efficient way to handle location data with differential privacy.
  • This method enhances the utility of location-based services while safeguarding user privacy.
  • The findings pave the way for more robust privacy-preserving data analysis in mobile applications.