BIKE – Bicycle Knowledge Explorer (Palm Beach)

This route planner, funded by the Palm Beach Metropolitan Planning Organization (MPO), is a joint effort by Florida International University GIS Center and University of Florida Geomatics Program at Fort Lauderdale Research and Education Center. It is designed as a planning tool for bicyclists. Assistance was received from the Palm Beach County Bicycle, Greenways, Pedestrian Advisory Committee.

BIKE – Bicycle Knowledge Explorer [Miami-Dade]

This route planner, funded by the Miami-Dade Metropolitan Planning Organization(MPO), is a joint effort by Florida International University GIS Center and University of Florida Geomatics Program at Fort Lauderdale Research and Education Center. It is designed as a planning tool for bicyclists. Assistance was received from the Miami-Dade County Bicycle/Pedestrian Advisory Committee and various cyclists and transportation professionals.

BIKE – Bicycle Knowledge Explorer [Broward County]

This route planner, funded by the Broward Metropolitan Planning Organization (MPO), is a joint effort by Florida International University GIS Center and University of Florida Geomatics Program at Fort Lauderdale Research and Education Center. It is designed as a planning tool for bicyclists. Assistance was received from the Broward County Bicycle/Pedestrian Advisory Committee and various cyclists and transportation professionals.

WAWASH Knowledge Management System

A knowledge management tool developed by the GIS Center for to support project reporting tools, project publications, and a project data portal for materials related to the WAWASH Program.

Transportation Outreach Planner

The Federal Highway Administration (FHWA) September 2003 Certification Report recommended that the Miami-Dade Metropolitan Planning Organization (MPO) incorporate 'Sociocultural Effect' features in its planning process to ensure community values and concerns receive proper attention throughout the entire transportation development process. In response, the Miami-Dade MPO created the Community Characteristics Project (CCP) in order to review the social, economic, and geographic characteristics of an area before public involvement (PI) efforts are initiated. In 2010 the Broward and Palm Beach MPOs joined the program, and the CCP was renamed the "Transportation Outreach Planner".

Lidar Elevation Data Download App

See Project Homepage for more details.

Everglades R-EMAP 2005

The Everglades R-EMAP project for year 2005 produced large quantities of data collected at 232 sampling sites. Data collection and analysis is an on-going long-term activity conducted by scientists of different disciplines at irregular intervals of several years. The data sets collected for 2005 include bio-geo-chemical (including mercury and hydro period), fish, invertebrate, periphyton, and plant data. Each sampling site is associated with a location, a description of the site to provide a general overview and photographs to provide a pictorial impression. The Geographic Information Systems and Remote Sensing Center(GISRSC) at Florida International University (FIU) has designed and implemented an enterprise database for long-term storage of the project�s data in a central repository, providing the framework of data storage for the continuity of future sampling campaigns and allowing integration of new sample data as it becomes available. In addition GISRSC provides this interactive web application for easy, quick and effective retrieval and visualization of that data.

FDOT District Six Pedestrian Safety Web GIS Application

A group of four applications including Top 20 Pedestrian Crash Locations: This application is designed to display top 20 pedestrian crash locations into both map- view and detailed information view. FDOT Crash Reporting Tool: This application is designed to simplify the usage and sharing of CAR data. The application can load raw data from CAR and display it into a web map interface. FDOT Online Document Portal: This application is designed for FDOT project managers to be able to share and manage documents through a user friendly, GIS enable web interface GIS Data Collection for Pedestrian Safety Tool: FIU-GIS Center was responsible for data collection and processing work for the project of Pedestrian Safety Tool Project. The outcome of this task is present by a simple web-GIS application design to host GIS by projects.

FIU GIS Center Geoportal

Geoportal allows users to find, search and share data.

GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.