Comparing Two Geospatial Series with Python
Learn how to use Python and pandas to compare two series of geospatial data and find the matches.
2021-03-23
4,794 reads
Spatial Data
2020-04-14
552 reads
2017-05-01
863 reads
2017-03-31
928 reads
2016-03-09
1,149 reads
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.
2015-04-15
7,242 reads
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.
2015-04-06
9,426 reads
2014-09-19
1,966 reads
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.
2012-04-27
2,152 reads
2012-02-03
1,999 reads
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Question of the Day
The "ORDER BY" clause behavior
Let’s consider the following script that can be executed without any error on both SQL Sever and PostgreSQL. We define the table t1 in which we insert three records:
create table t1 (id int primary key, city varchar(50)); insert into t1 values (1, 'Rome'), (2, 'New York'), (3, NULL);If we execute the following query, how will the records be sorted in both environments?
select city from t1 order by city;See possible answers