Understanding current conditions and past change is essential to improving natural resource management in the future. Through its Coastal Change Analysis Program (C-CAP), NOAA’s Office for Coastal Management produces standardized land cover and change information for the coastal U.S. Current products include both regionally focused, moderate resolution (30 m) data that is updated every 5 years and high resolution (1-4 m) maps that provide more detail in areas experiencing high rates of land cover change, bringing this national framework to the local level.
Data: Big, Little and Everything In Between
Has your public safety communications manager come to you to ask for your addressing and centerline data yet? Will you be ready by 2020? Do you have the staffing and resources to face this challenge? This presentation is essential to the GIS professional who manages municipal addressing data, centerline layers, and supports public safety municipal boundaries.
Using only open-data sources, it's possible to power a wide variety of tools for personal navigation, transportation optimization, and planning and analysis. While open data may not always have the quality or consistency of commercial data sources, the open approach has unique advantages: Developers can more fully customize and tailor their use of data for their particular apps, visualizations, and analyses. New business models can be built when data licensing costs are less of a factor.
Maps can only be as good as the data they are built upon, and data is only as useful if it is good data. One of the foundations of the National Map is the National Hydrography Dataset (NHD). The digital version of the blue lines on USGS topographic quad maps has evolved into a hearty dataset serving as the geospatial framework for the mapping, modeling, and planning of the nation’s water resources. The NHD is maintained in a rigorous process that utilizes technical mapping standards, custom tools, and a stewardship-maintenance system.
Cal-Adapt (launched 2011) provides access to the wealth of climate data produced by California’s scientific and research community through interactive climate tools, data downloads and a new public Web API. Cal-Adapt is developed by UC Berkeley's Geospatial Innovation Facility with oversight and funding from California Energy Commission. Through the public Cal-Adapt Web API, users can currently access future climate projections for the following climate variables:
There are many practical reasons for local governments to assemble a master address repository. One fundamental reason that is little explored, however, is the role of the address in civic life. Open addresses allow citizens to participate in their communities, and are part of the fabric of a "high trust" society. Addresses are open when they can be validated, when their spatial logic is obvious at the street level, and when the address data are free of dependencies on closed data.
Santa Clara Valley Transportation Authority (VTA) is the Congestion Management Agency and Transit Agency for Santa Clara County. Our Development Review team "reviews, analyzes, and tracks land use developments within and near Santa Clara County to improve land use/transportation coordination, promote alternative travel modes, and encourage a balanced approach to addressing congestion." This process has been in effect since the late 1990s and has not had a huge technology overhaul since then. The team currently uses MS Access to enter in and store data relating to any new and/or existing
Master Address Repository or MAR is an essential database all local governments should invest in developing.
This presentation will look deeper into the issues involved with maintaining multiple address databases and how the development of a single, centralized source for addresses, a Master Address Repository, can solve these issues, improve address management and enhance the usefulness of addresses throughout the organization.
GeoWave is an open source project that bridges the gap between geospatial software and distributed computing systems. This presentation will primarily focus on applications of GeoWave. In this presentation we will illustrate how GeoWave can visualize massive datasets and further enables distributed processing to perform analysis at scale.
We will guide the audience through a variety of examples utilizing GeoWave to efficiently visualize and analyze very large datasets. Examples include:
Address data is essential infrastructure. Street names, house numbers and postal codes, when combined with geographic coordinates, are the hub that connects digital to physical places. At OpenAddresses we’ve been building a collection of the world’s authoritative data sources, and we've generated a sizable collection of data on a shoestring budget and exclusively volunteer effort.