LandMetrics

about

LandMetrics nurtures some cool projects and sells well-written code to great clients.

LandMetrics' founder, Fred McDavid, has developed both frameworks and best practices for:

organizing data production into segmented, highly-testable units which are completely separated from layout and design
optimizing both the flow of data into an application (by never requesting the same information twice)
optimizing data processing inside an application (by never looping thru the same data set twice)
efficiently assembling an output product (web, pdf, etc.)

The core of that work has been released as an open source project and an example application built on top of these code patterns and best practices can be seen in PerimeterCOMPS, a system for analyzing local real estate markets for investors, buyers, and sellers of real estate. Some early versions of the PerimeterCOMPS system took several hours to complete a single analysis. Today, the system produces a much more complex analysis in just a few minutes.

For prospective clients who don't read jargon, we've gotten good at making complex business analysis happen really fast.

Please see the Services section below for more information.

Services

LandMetrics develops software on a contract basis for customers who need web-enabled system development.

We make complicated back-end services work well. We rigorously test our code to prove it.

Specific areas of expertise include:

PostGIS-related processing of spatial data
Assembly and analysis of complex data sets
Integration of data from multiple, disparate sources
Business data reporting

LandMetrics' clients are intimately involved in the development process. From start to finish, we ensure they get a system that meets their expectations.

projects

Sadie

Sadie is an opensource tool for extracting data from a variety of sources and interacting with it in a very efficient way. It is the core data extraction and reporting component of the PerimeterCOMPS system.

PerimeterCOMPS

A detailed breakdown of recent trends in the real estate market in the immediate vicinity of your home, a study of the types of nearby homes which were recently sold and the prices at which they sold, and a comparison of your home to those that were recently bought & sold.

Olsen

Olsen is a simple reporter. It builds upon the Sadie gem to provide a framework that makes data gathering and reporting dead simple.

News

Olsen Released

LandMetrics just released Olsen, an opensource tool for managing reporting and other types of big data outputs. It uses Sadie and adds plugin handlers for erb-style templates and typeset pdf generation using the TeX typesetting system.

PerimeterCOMPS Website Launched

LandMetrics just launched the PerimeterCOMPS website, a groundbreaking tool that lets buyers, sellers, and investors of real estate discover facts about the neighborhood real estate market that buyers and sellers can use to make good choices.

Sadie Released

LandMetrics just released Sadie, an opensource tool for extracting data from a variety of sources and interacting with it in a very efficient way. It is the core component of the PerimeterCOMPS system.

Articles

Introducing Sadie and Olsen

In a nutshell, Sadie a ruby gem that makes data access code more clean, manageable, an efficient. And that's great, but it gets a little better when sprinkled with a little Olsen, a simple reporter.

Sadie Eachers Explained

By merging a key/value storage mechanism with a framework that facilitates a "just-in-time" data gathering strategy, Sadie automatically optimizes data access, gathering, and manipulation by eliminating unrequested data access and manipulation. But Sadie also enables another optimization path via "eachers."