Esri Aeronautical Solution—Airports GIS Package Now Available

Esri logoSoftware Suite Helps Airports Comply with FAA Regulations

The Esri Aeronautical Solution—Airports GIS Package is now available as a free download for Esri Aeronautical Solution users. This software configuration suite was specifically developed to help US airports comply with the Federal Aviation Administration’s (FAA) Airports GIS data management and submission requirements.

Esri Aeronautical Solution—Airports GIS Package

Automated data validation tools come with over 300 preconfigured checks developed from the FAA's -18B specification.

Published by FAA in 2009, Advisory Circular 150/5300-18B established a comprehensive digital data standard. As part of the standard, Airports GIS requires US airports to submit accurate and high-quality GIS data that will be subjected to quality checks. US airports face challenges in submitting data that complies with these new mandates without the need for reworking. The Esri Aeronautical Solution—Airports GIS Package provides airports and the consultant community with an integrated toolkit of automated GIS functionality. The solution includes preconfigured products that make the collection, management, quality control, and submission of airport data more efficient, resulting in time and cost savings.

As the Airports GIS program continues to mature, Esri plans to expand and update Aeronautical Solution support for this initiative with new tools and templates, which will also be available via download at the ArcGIS Resource Center.

For more information regarding Esri Aeronautical Solution support for Airports GIS, visit esri.com/airportsgis.

[Source: Esri press release]

 

Jaguars on the Move: Modeling Movement to Mitigate Fragmentation from Road Expansion in the Mayan Forest

Animal ConservationAnimal Conservation, Volume 14, Issue 2, pages 158–166, April 2011

F. Colchero1, D. A. Conde1, C. Manterola, C. Chávez, A. Rivera, and G. Ceballos

“Road-induced habitat fragmentation is one of the greatest threats to large carnivores. Wildlife passes have been used to reduce fragmentation by mitigating the effects of roads as barriers to animal movement. However, direct observations of animals crossing roads are extremely rare and thus indirect methods are necessary to locate crossings. Yet, current methods fail to incorporate the animals’ movement behavior and thus have little predictive power. Based on the principles of resource selection functions and state-space modeling, we developed a Bayesian movement model applied to radio-telemetry and GPS data to infer the movement behavior of jaguars Panthera onca as a response to vegetation, roads and human population density in the Mayan Forests of Mexico and Guatemala. We used the results of the model to simulate jaguars moving along a road that bisects the major reserve system in the area.

Simulated movement paths of 10 000 female and 10 000 male jaguars

Simulated movement paths of 10 000 female (a) and 10 000 male (b) jaguars around the Escárcega–Xpujil road (bold white line). The yellow-to-red gradient represent the average number of times each cell was used by a jaguar out of 10 000 simulated individuals per sex. For clarity, unpaved roads were excluded from the map.

“The aim of the simulations was to identify suitable locations for wildlife passes. We found that jaguars move preferentially to undisturbed forests and that females avoid moving close to roads and to areas with even low levels of human occupation. Males also avoid roads, but to a lesser degree, and appear undisturbed by human population density. Simulations reflected these differences: potential crossing sites for females are limited to a strip of a few kilometers, whereas males are able to cross at many different sites. Still, we identified a 1 km strip along the road where the likelihood of crossing for both sexes is highest, ideal for the construction of a wildlife pass. Our study contributes to the ecology of one of the world’s least-studied large carnivores and provides a modeling framework that greatly improves the location of wildlife passes. Moreover, our approach can greatly advance region-wide conservation plans for the location of corridors and conservation units.”

Data and Online Maps Help Create Better Communities

EsriEsri’s Community Analyst Now Available

Government agencies, civic organizations, and policy makers can access vast amounts of data and instant reports and maps through Esri Community Analyst, a cloud-based GIS application.

This new tool includes demographic, health, economic, education, and business data variables to help users develop informed strategies for policy creation and critical resource allocation. Decisions such as matching health care clinics to areas with the greatest need or allocating infrastructure funding for maximum community impact can now be made and supported using customizable reports and maps.

Exploring adult diabetes data for the San Francisco area using Esri’s Community Analyst.

“Understanding a community’s unique characteristics provides organizations with the tremendous potential to develop effective strategies, distribute critical resources, and best serve constituents,” said Jack Dangermond, Esri president.

Community Analyst is completely hosted in the cloud by Esri. This eliminates the need for software installation and data management and ensures that users always have access to the latest features and data updates.

For more information and to sign up for a free trial, visit esri.com/communityanalyst.

[Source: Esri press release]

Position Announcement: Esri Ocean GIS Engineer

Work closely with Esri’s Chief Scientist (http://bit.ly/kajHZO) to develop application prototypes, tools, and appropriate data models, templates, datasets, and documentation. In this role, you will also work closely when appropriate with the Maritime Professional Services Team, the Marine and Coast Industry Marketing Team, and the Applications Prototype Lab.

Reference Code: AE/HP/JO/0001

Apply online at http://bit.ly/iv3URl

Department: Corporate

Responsibilities:

  • Assist in the design, creation, and maintenance of GIS tools and workflow automation methods
  • Develop 3D and 4D visualization and analysis prototypes
  • Port legacy tools to new formats
  • Assist in developing tools and documentation to support various data interoperability projects including data modeling, vocabularies, ontologies, and sharing/exchange of maps, data, and analyses in cloud infrastructures
  • Collaborate with key users on usability issues and best practices
  • Focus on supporting coastal and marine spatial planning and benthic terrain analysis

Requirements:

  • Master degree in geography, GIS, marine science, computer science, or a related field (B.S. also acceptable depending on experience)
  • Windows and/or UNIX/Linux experience
  • Geoprocessing experience including scripting (Python, Java, JavaScript, JSP, HTML) and programming (C++, C#)
  • Strong familiarity with geodatabase concepts and objects
  • Experience with large environment application installation deployments
  • Proficiency in mapping APIs (e.g., ArcGIS, JavaScript/Flex); simple XML-based web services with geographic context (e.g., SOAP, REST, GeoRSS); and data/map services for use in GIS analysis (e.g., ArcGIS Server, ArcGIS Online; Open Geospatial Consortium WMS, WFS)
  • Strong written and verbal communication skills
  • An innovative, results-oriented team player with strong multi-tasking skills

Highly Recommended Qualifications:

  • Silverlight programming experience
  • Web application setup authoring experience
  • Ability to design, build, and manage maps and data content for the ArcGIS user community

Employment Fraction: Full-time with full and generous benefits package

Work Location: Esri Headquarters, Redlands, CA, USA

A Typology of Real-Time Parallel Geoprocessing for the Sensor Web Era

ISW-2011: Integrating Sensor Web and Web-based Geoprocessing, An AGILE 2011 Conference Workshop; Utrecht, The Netherlands, April 18, 2011

Aengus McCullough, Stuart Barr, and Philip James

“The rise of digital sensors and the Sensor Web is expected to have wide reaching implications for the monitoring of the physical and human world [1] and has already resulted in an explosion in the volume and availability of spatially referenced data pertaining to our surroundings. While this deluge of easily accessible near real-time data brings numerous opportunities, it also presents a significant challenge in terms of geoprocessing. Existing geoprocessing systems must be adapted to meet the requirements of this new era of spatial data infrastructure.

“Although real-time geoprocessing systems have existed for some time in fields such as environmental monitoring, they have usually been part of a stove-piped system in which the geoprocessing component was specifically engineered for the given application [2]. In today’s world of service orientation, geoprocessing components are often developed as services that can be swapped in and out of systems with ease. Web service standards defined by the Open Geospatial Consortium (OGC) have become widely adopted. The OGC Web Processing Service (WPS) defines a uniform interface to encapsulate heterogeneous geoprocessing functionality [3]; by chaining OGC data and processing services geoprocessing workflows can be rapidly composed. As a result, we have come to expect generic geoprocessing services to be available that meet our requirements.

“However, the requirements of real-time monitoring and prediction scenarios differ significantly from offline geoprocessing in terms of usage patterns, computational characteristics and data processing methodologies. Real-time systems must often process continuous jobs of an unknown size or duration [4]. They may be required to work to a hard real-time deadline, or to keep pace with the rate of data arrival [5]. Additionally, they must be capable of operating on data streams as well as static datasets, and in some cases to perform complex event or pattern detection [6]. Furthermore, data acquired from sensors is often unreliable so geoprocessing systems need to be robust to corrupt and missing observations [7]. For these reasons generic geoprocessing services designed for offline analysis are often unsuited to operating on near real-time sensor data.”

Jack’s 2011 UC Plenary Preparation

Every summer, Esri president Jack Dangermond takes over a conference room for use in mapping out his User Conference plenary presentation.  Walking in to the conference room is, as one employee noted, “like walking inside Jack’s brain.”  Here are a few snapshots I took this morning “inside Jack’s brain.”

Nothing like a little Brisk tea to get the creative juices flowing.

Almost final...

Where old slides go to die--before being placed in the recycling bin, of course.