Geographic Visualizations in Python with Cartopy

Cartopy is a cartographic Python library that was developed for applications in geographic data manipulation and visualization. It is the successor to the the Basemap Toolkit, which was the previous Python library used for geographic visualizations. Cartopy can be used to plot satellite data atop realistic maps, visualize city and country boundaries, track and predict movement based on geographic targeting, and a range of other applications relating to geographic-encoded data systems. In this tutorial, Anaconda 3 will be used to install Cartopy and related geographic libraries. As an introduction to the library and geographic visualizations, some simple tests will be conducted to ensure that the Cartopy library was successfully installed and is working properly. In subsequent tutorials: shapefiles will be used as boundaries, realistic city streets will be mapped, and satellite data will be analyzed.

Arduino Internet of Things Part 3: External Interrupts Using A Motion Sensor (HC-SR501)

Arduino, Programming, ElectronicsJoshua HriskoMarch 25, 2018Interrupt, Arduino, Amazon, ATmega, ATmega328p, Bluetooth, Breadboard, code, DIY, Resistor, Infrared, Internet of Things, programming, IR, IoT, interrupt, DIY Arduino, Sketch, Loop, loop, Open-Source, Quartz Crystal, raspberry pi, Serial, Upload, while loop, 16 MHz, 4 MHz, Arduino Internet of Things, SensorComment

Arduino Internet of Things Part 2: Lowering The Power Consumption Of The ATmega328P Breadboard Arduino And The HM-10 Bluetooth Module

Bluetooth, Arduino, Programming, Editor's PicksJoshua HriskoMarch 21, 2018Internet of Things, Arduino, ATmega328, Breadboard, ATmega, Amazon, Bluetooth, Web, Chip, code, DHT22, DIY, Adafruit, GitHub, humidity, Sketch, loop, Open-Source, IoT, parse, Quartz Crystal, Multimeter, temperature, Upload, Wiring, Crystal Oscillator, Arduino Internet of Things, BLE, Arduino BLE Comment

Driving Any Stepper Motor for Less Than $1 with The L293

Electronics, ArduinoJoshua HriskoFebruary 7, 2018Motor, Arduino, Stepper, Bi-polar, electromagnetic, L293D, Driver, Open-Source Comments

Geospatial Analysis Using QGIS and Open-Source Data

Geographic information systems (GIS) are powerful tools used by climatologists, health organizations, defense agencies, real-estate companies, and nearly all professions that rely on location-based data. Geographic data is often very cumbersome to analyze traditionally, which is why visualization tools are essential. Depending on the size and complexity of the data, several robust GIS softwares exist on the market from open-source (free) to paid subscriptions. Each software has its strengths and weaknesses, so depending on the application one software may be more effective than another. A few of the leading softwares are: GE Smallworld, Google Earth Pro, AutoCAD Map 3D, and Maptitude. QGIS is an open-source competitor to ArcGIS, which is arguably the industry leader in the GIS market, so for financial and ease-of-application reasons, QGIS is employed here. I will also cover four scales of geographic analysis: one at the city level (NYC), one at the state level (Washington State), one at the country level (U.S.A.), and one at the world level. The goal is to demonstrate the power and breadth of geographic information systems at any scale.