What is xyzt.ai?

xyzt.ai is a spatio-temporal visual analytics platform to extract insights from data of things or people that move.

This article explains what the platform is and what the main concepts are.

Working in team

This article explains how you manage the users in your team.

Account configuration

This article explains how you manage your account settings and change your password.

Automating and scripting

Learn how you can use the REST api to automate or script certain tasks.

Terms and conditions

Read about the terms and conditions, privacy policy and data agreement you agree with when using our software.

You can also consult the third party licenses of the third party software we use.

Data management intro

Before you can analyze your data, you need to add it to the platform and create a project for it.

In this article, you will learn about the main concepts in this process and their relationships. It provides a high-level overview of what a project, dataset, background layer and area of interest are.

Different types of data sets

Learn about the different types of data (sets) the platform supports

Create a data set

Learn how to create a new data set.

Delete a data set

Learn how to delete one of your data sets.

Create a project

Learn how to create a new project.

Manage data in a project

Each project contains a number of data sets, background layers and areas of interest.

This article explains how you can add or remove any of those to/from a project.

Load a project

Learn how to open and activate one of your existing projects, or switch a different project.

Delete a project

Learn how to delete one of your projects.

Create a background layer

Learn how to create a new background layer.

Delete a background layer

Learn how to delete one of your background layers.

Create an AOI layer

Learn how to create a new area of interest (AOI) layer.

Delete an AOI layer

Learn how to delete one of your areas of interest (AOI) layers.

Data upload overview

Uploading movement data to the platform is a multistep process.

This article provides an overview of the different steps involved, and contains links to articles with more details about each step.

Configure data properties

Before you can upload your movement data or metadata csv files, you need to define the structure of those csv files.

This article provides an overview on how to do that.

Spatio-temporal resolution

During processing, the data is divided into a spatial and temporal grid.

This article explains this in more detail, as well how you can configure the size of this grid.

Different data representations

Data is by default processed into a gridded representation using the configured spatio-temporal grid. Additionally, the processing engine can produce trajectories and/or realtime data representations as well.

This articles describes the properties of each of those representations, together with some example cases where activating these data representations makes sense.

Handling missing property values

Some records might have missing values for certain properties.

This article explains in more detail the different strategies the platform has to deal with those missing values.

Upload (meta)data

Once the structure of your (meta)data is defined and the processing settings configured, you can start uploading your (meta)data.

Data versus metadata

Learn what the difference is between data and metadata.

Data properties file syntax

You can define the structure of your .csv files by uploading a file defining the data properties.

This article explains the syntax of this file.

Data upload overview

Uploading time series data to the platform is a multistep process.

This article provides an overview of the different steps involved, and contains links to articles with more details about each step.

Configure data properties

Before you can upload your time series files, you need to define the structure of those files.

This article provides an overview on how to do that.

Upload data

Once the structure of your GeoJSON and measurent data files is defined, you can start uploading your GeoJSON and CSV files.

GeoJSON data properties file syntax

You can define the structure of your .geojson files by uploading a file defining the GeoJSON properties.

This article explains the syntax of this file.

CSV data properties file syntax

You can define the structure of your .csv files by uploading a file defining the data properties.

This article explains the syntax of this file.

Introduction

An introduction and overview of the most important features and UI elements of the visual analytics page.

Creating spatial filters

This article describes all the ways you can create and edit spatial filters on the visual analytics page.

Creating temporal filters

This article describes all the ways you can create and edit temporal filters on the visual analytics page.

Creating attribute filters

This article describes all the ways you can create and edit filters based on the data attributes on the visual analytics page.

Styling your data

This article describes how you can adjust the colors on the spatial map.

UI overview

Cheat-sheet to remember which functionality is located where on the visual analytics page.

Side-by-side comparison

Learn how to start a visual side-by-side comparison.

Tabular view of the data

Learn how to open and customize the tabular view on the data

Working with timezones

This article explains how timezones affect your filters, and illustrates this with some use cases.

Different data representations

When creating a data set, you can request to calculate trajectories and realtime data representations.

This article explains how to show those on the visual analytics page.

How are the results being calculated ?

This article provides more details about the pipeline your data goes through, and how you should interpret the results.

Introduction

An introduction and overview of the most important features and UI elements of the trend analytics page.

UI overview

Cheat-sheet to remember which functionality is located where on the trend analytics page.

Working with timezones

This article explains how timezones affect your filters and selected time ranges, and illustrates this with a few use-cases.

Introduction

An introduction and overview of the most important features and UI elements of the distribution analytics page.

UI overview

Cheat-sheet to remember which functionality is located where on the distribution analytics page.

Working with timezones

This article explains how timezones affect your filters and selected time ranges, and illustrates this with a few use-cases.

Introduction

An introduction and overview of the most important features and UI elements of the origin-destination page.

UI overview

Cheat-sheet to remember which functionality is located where on the origin-destination page.

Introduction

An introduction and overview of the most important features and UI elements of dwell-time page.

UI overview

Cheat-sheet to remember which functionality is located where on the dwell-time page.

Introduction

Learn about the most important concepts when you want to save and share your analysis.

This article introduces the concept of bookmarks, links, and dashboards.

Create a bookmark and/or link

Learn how to create a new bookmark or link.

Dashboard UI overview

Cheat-sheet to remember which functionality is located where on the dashboard page.

Delete a bookmark and/or link

Learn how to delete a bookmark or link.