PhD · Geography · UC Santa Barbara

Die (Diane) Hu

Geospatial data scientist bridging human mobility, GeoAI, and urban systems to make cities more accessible, equitable, and intelligently navigated.

AAG 2026 · Minneapolis WCTR 2026 · Toulouse UCSB Geography

From the Backcountry
to the Coast

14+ Research Projects
6 Publications
4 Countries / Regions
4.0 GPA at UCSB
Research Evolution
2016–2020

Urban Planning

Spatial Planning Urban-Rural
2020–2023

Ecology & Land Systems

Land Use Ecological Networks Remote Sensing
2024–2025

GIS & Transportation

Remote Sensing Urban Infra
2025–Present

GeoAI & Human Mobility

Mobility Motifs Accessibility
Background & Story

Growing up in rural Guizhou, China, I was first appointed class leader at age six — not because anyone asked if I wanted to, but because someone had to. That sense of stewardship has shaped everything since. When I volunteered for typhoon cleanup at my university in Xiamen and stood among uprooted trees and damaged streets for the first time, I felt the raw tension between nature's force and the fragile city we call home. That moment became a compass.

My research journey has taken me from tourism geography to ecological network construction, from land-use spatial planning across China's provinces to analyzing human mobility patterns with federal survey data in California. What looks like a winding path is, in fact, a deepening question: how does spatial structure shape outcomes — for people, for ecosystems, for the communities we build?

"I don't want human beings to pollute beautiful garden cities. I don't want haze to cover the blue sky! I am on the right track to protect mother earth!"

— Personal Statement
Rural village in Bijie, Guizhou, China — rice paddies and city skyline in the distance
Bijie, Guizhou · Where it began
Artistic diorama of UC Santa Barbara campus — Storke Tower, Pacific Ocean, and campus buildings
UC Santa Barbara · Today

What Fuels Me

Read My Story

I was six years old and already class leader in a small village school in Guizhou. I did not fully understand what that meant at the time, but I understood the feeling — being the person who makes sure no one gets left out, who notices the quiet kid, who holds things together so everyone can do their part. That instinct has never left me. It followed me through seven summers of fieldwork across rural China, through a typhoon cleanup in Xiamen where strangers became a team in hours, and through a twenty-person land survey crew I coordinated in Hubei, where the best insight of the entire project came from a surveyor I almost did not think to ask. The pattern is always the same: the work gets better when everyone in the room feels like they belong there.

I have studied at five institutions across two countries, and the thing that has shaped me most at each one was never the curriculum — it was whether I found people I could grow alongside. A good team changes everything. It changes the questions you think to ask, the mistakes you are willing to make, and the kind of work you are brave enough to try. I care deeply about the research problems I work on — mobility, accessibility, who gets included in the design of cities — but I care about them because they are fundamentally about people being seen. And I have learned that you cannot do justice to that kind of question from inside a silo. It requires people who challenge you, support you, and hold you accountable to the communities the work is meant to serve.

What I want to build going forward is not just a body of research. It is an environment — a lab culture, a collaboration, a room — where people from different backgrounds bring their full perspective and feel safe doing it. Where junior members are heard, where fieldwork is a conversation and not just data collection, and where the human stakes of the work stay visible in every meeting, every model, every result. That is the kind of place where I do my best thinking. I want to help create it for others, too.

Human Mobility & Travel Behavior

Analyzing how people structure their daily movements and what shapes destination choices across urban and rural contexts.

GeoAI & Spatiotemporal Modeling

Applying machine learning and AI to geographic data for pattern recognition, prediction, and planning insights.

Urban Accessibility & Equity

Measuring who can reach what, and designing frameworks that expose and address spatial disparities.

Transportation Systems Analysis

Evaluating vehicle miles traveled, fleet structures, and modal shifts to inform sustainable transport policy.

Remote Sensing & Land Use

Processing multi-source satellite imagery to track landscape change, ecological health, and infrastructure conditions.

Ecological Spatial Planning

Integrating landscape ecology with urban planning to build resilient, connected natural systems.

Research That Moves
(Literally and Figuratively)

From California freeways to Dominican mangroves — my work spans scales, systems, and continents.

Mobility
WCTR 2026 · Accepted

VMT and Household Vehicle Fleet Structures

GeoTrans Lab, UCSB · 2025–Present

Co-authored investigation into correlations between annual vehicle miles traveled (VMT) and household fleet composition and fuel types using paired 2017 and 2022 NHTS data. Accepted for presentation and publication at the World Conference on Transport Research, Toulouse, France.

Transportation Sustainability NHTS WCTR
Ecology
$49,773 · USDA Forest Service

Mangrove Inventory & Spatio-Temporal Analysis, Dominican Republic

CAGIS, UNC Charlotte · 2024–2025

Processed multi-source geospatial data to map mangrove area and canopy height distributions across the Montecristi Wetlands. Designed spatial optimization models for inventory plot allocation and analyzed 10-year mangrove decline (2013–2023). Presented at SWAAG/AGX 2024.

Remote Sensing Conservation Federal International
GIS
$404,403 · NCDOT

DeepPipe: Spatially Explicit Deep Learning for Urban Stormwater Infrastructure

CAGIS, UNC Charlotte · 2024–2025

Created soil maps from the gSSURGO database to support underground pipe service life evaluation across Charlotte. Improved the Pipe Assessment and Selection Software (PASS) by converting legacy VBA code to Python, enabling scalable and reproducible stormwater infrastructure prediction.

GIS Python Infrastructure Federal Urban
Urban
Community Impact

Charlotte Atlas of Climate Inequality & Community Resilience

UNC Charlotte · 2024–2025

Designed an interactive mapping template using Esri Experience Builder to visualize climate inequality indicators and community resilience metrics across Charlotte neighborhoods. Provided training for city partners on adding maps, updating datasets, and interpreting spatial equity indicators.

WebGIS Climate Equity Urban Community

Scholarship in Motion

Journal · 2019

A study on the measurement of foreign tourists' sense of safety in traveling to China and strategies for improvement.

Hu, D., Zhu, Y., Lin, Y.T., et al.

Contemporary Tourism, 2019(3): 70–75.

2019

Bridging Theory and Practice

GEOG 111A

Transportation Planning and Modeling

UC Santa Barbara · Winter 2026 · Teaching Assistant

Conducted lab sessions for spatial and transportation data analysis; guided students in R/RStudio spatial statistics.

GEOG 172

Intermediate Geographic Data Analysis

UC Santa Barbara · Fall 2025 · Teaching Assistant

Developed lab materials for spatial clustering, spatial autocorrelation, and spatial regression analysis; led weekly lab sessions using R/RStudio.

GEA 1000

World Geography

Florida State University · Spring 2025 · Teaching Assistant

Assisted with introductory world geography course; graded assignments and supported student learning.

HUM GEO

Human Geography & Urban-Rural Planning

Huaqiao University · 2018–2019 · Dept. Teaching Assistant

Collated research outcomes; designed course practical plans and assessed final assignments.

The Technical Toolkit

Core Capabilities Tier 1 · Primary Expertise
ArcGIS QGIS Google Earth Engine Python R SQL Spatial Data Integration Quantitative Methods
Supporting Tools Tier 2 · Proficient
ENVI Fragstats InVEST MSPA Jupyter Notebook Git Linux / HPC SPSS AutoCAD
Emerging & Developing Tier 3 · In Progress
GeoAI Spatiotemporal ML CPLEX Adobe Illustrator Photoshop
Languages
English (Professional) Mandarin Chinese (Native)

Recognition Along the Way

  1. 2026

    Dangermond Travel Award

    $600 · UCSB Geography

  2. 2024

    Conference Travel Scholarship

    $1,100 · UNC Charlotte

  3. 2020–2022

    First-class Academic Scholarship for Graduates

    3 consecutive years · China University of Geosciences

  4. 2020–2022

    National Grant for Postgraduate Students (国家助学金)

    3 consecutive years · Ministry of Education, China

  5. 2021

    Third Prize, 32nd Scientific Paper Presentation

    China University of Geosciences

  6. 2020

    Outstanding Graduate (优秀毕业生)

    College of Tourism · Huaqiao University

  7. 2020

    Admitted via Competitive Graduate Recommendation (推免生)

    Top ~5% nationally · China University of Geosciences

  8. 2019

    Second Prize, 26th "Challenge Cup" (挑战杯)

    Huaqiao University

  9. 2018

    Ministry of Culture and Tourism — "Ten Thousand Tourism Talents" Program (万名旅游英才计划)

    National selection · 200 teams across China · Ministry of Culture and Tourism

  10. 2018

    Second Prize, 5th "Dream Building Cup" (筑梦杯) Landscape Design Competition

    Huaqiao University

  11. 2017–2019

    National Encouragement Scholarship (国家励志奖学金)

    3 consecutive years · Ministry of Education, China

  12. 2016–2019

    National Grant for Undergraduate Students (国家助学金)

    4 consecutive years · Ministry of Education, China

  13. 2017

    Second Prize — Excellent Paper, Summer Social Practice

    Huaqiao University

Code & Community

Building tools and curating resources for the global GIS community.

Global AI Acceptance Index preview
Visualization 1

Global-AI-Acceptance-Index

Interactive 3D globe visualization of global AI acceptance across 121 countries, compiled from 46 data sources. Built with D3.js and Three.js for immersive data exploration.

D3.js AI Research 3D Globe Interactive Map Open Data
View Repository
MBTIearth preview
For Fun 🌏 1

MBTIearth

An interactive 3D globe that playfully maps MBTI personality types to countries worldwide — combining geospatial visualization with psychological data for an unexpected perspective on global culture.

JavaScript 3D Globe Data Viz Interactive
View Repository
Diorama Studio — AI city miniature art preview
AI Art —

die-hu.github.io

Diorama Studio — premium AI-generated city miniature art. Photorealistic tilt-shift style images of 70+ world-famous universities and national parks.

AI Art Tilt-Shift Diorama Gallery
Visit Site

Let's Connect

Open to research collaborations, speaking invitations,
and conversations about geospatial science and urban equity.

diehu@ucsb.edu Geography Dept · UC Santa Barbara · Goleta, CA