Determining Whether Home Addresses Fall Within a Tornado Polygon Using Spatial Functions

Geographic information systems (GIS) play a critical role in emergency response planning and risk assessment. One of the key challenges in this field is determining whether a specific location falls within an area of interest. This capability is especially valuable for property and casualty (P&C) insurers, who need to assess their insured property exposure when severe weather events such as tornadoes occur.

Comparing Two Geospatial Series with Python

Learn how to use Python and pandas to compare two series of geospatial data and find the matches.

The Linestring

Spatial Data Type

It Just Runs Faster - Spatial

Modelling the world

SQL Server Spatial Indexes

Spatial Data in SQL Server has special indexing because it has to perform specialised functions. It is able, for example, to break down an indexed space into a grid hierarchy by using a technique called tessellation. This is a rules-based system that, when you compare a shape to an index, works out how many cells in the the grid hierarchy are touched by that shape , and how deep down the grid hierarchy to search. There is powerful magic in Spatial Indexes as Surenda and Roy explain.

Introduction to SQL Server Spatial Data

More and more applications require the handling of geospatial data. It is easy to store spatial data, but it takes rather more thought to retrieve and manipulate it. Tasks like searching neighborhoods, and calculating distances between points is often required from databases. But how do you start? Roy and Surenda take you through the basics.

Which is the correct spatial data type?

Tuning Spatial Point Data Queries in SQL Server 2012

Spatial Point Data queries require particular tuning efforts to enhance performance and improve overall application through put. SQL Server 2012 introduces a few key new features and improvements to assist you in that goal.