Entering Geospatial Machine Learning with GeoPandas

Must read

High-Speed Rail LiDAR Survey Starts in India

The proposed Delhi Varanasi High-Speed Rail (DVHSR) corridor with a length of about 800 km gained momentum. The LiDAR (Aerial Ground) survey for Delhi-Varanasi High-Speed...

Pix4D Celebrates 10 Year Anniversary And Launches A New Logo

Pix4D is celebrating its 10 year anniversary. The company is unveiling a new logo to commemorate the event. Pix4D emerged from the EPFL in...

Global Partnership Announced Between Schneider Digital And DAT/EM Systems International

The software producer DAT/EM Systems International and the 3D hardware specialist Schneider Digital, have announced a global partnership agreement for the distribution of the...

Webinar: Fast Volume Computation Of Stockpiles In Steelworks

Steelworks are complex realities facing several challenges. One of these is the volume computation of material stockpiles, now a day necessary to satisfy the...
Nursinem Handan ŞAHAN
2018 yılında Yıldız Teknik Üniversitesi Harita Mühendisliği bölümünü onur öğrencisi olarak tamamladı. Lisans eğitimi sırasında Erasmus+ programıyla Varşova Teknoloji Üniversitesinde öğrenim gördü. Halihazırda öğrenimine İstanbul Teknik Üniversitesi Coğrafi Bilgi Teknolojileri bölümünde devam etmekte.

The field of artificial intelligence (AI) has progressed rapidly in recent years, matching or, in some cases, even surpassing human accuracy at tasks such as image recognition, reading comprehension, and translating text.  The intersection of AI and GIS is creating massive opportunities that weren’t possible before. AI, machine learning, and deep learning are helping us make the world better by helping, for example, to increase crop yield through precision agriculture, understand crime patterns, and predict when the next big storm will hit and being better equipped to handle it.

What is Geopandas

Installation

Geospatial concepts

Geospatial common datatypes

GeoJSON, similar to JSON, stores geometry information (coordinates, projection, etc) in addition to your typical attributes relevant to the object (index, name, etc).

Introduction to basic geometric attributes

Area

Polygon Boundary 

Centroid

Distance

You can then perform many spatial aggregates function to find out the mean, max, or min distances.

Source: Where Deep Learning Meets GIS, Geopandas Hands-on: Introduction to Geospatial Machine Learning

More articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisement -

Latest article

High-Speed Rail LiDAR Survey Starts in India

The proposed Delhi Varanasi High-Speed Rail (DVHSR) corridor with a length of about 800 km gained momentum. The LiDAR (Aerial Ground) survey for Delhi-Varanasi High-Speed...

Pix4D Celebrates 10 Year Anniversary And Launches A New Logo

Pix4D is celebrating its 10 year anniversary. The company is unveiling a new logo to commemorate the event. Pix4D emerged from the EPFL in...

Global Partnership Announced Between Schneider Digital And DAT/EM Systems International

The software producer DAT/EM Systems International and the 3D hardware specialist Schneider Digital, have announced a global partnership agreement for the distribution of the...

Webinar: Fast Volume Computation Of Stockpiles In Steelworks

Steelworks are complex realities facing several challenges. One of these is the volume computation of material stockpiles, now a day necessary to satisfy the...

GNSS Software Defined Radio Metadata Standard Published

The GNSS Software Defined Radio Metadata Standard document has been published in NAVIGATION: Journal of the Institute of Navigation’s Spring 2021 issue, Volume 68,...