AGSL GeoDiscovery

Åland Islands 2G Mobile Coverage Explorer, 2020

Description:

This GeoTIFF is a representation of the coverage area for 2G mobile communications newtworks in The Åland Islands. Mobile Coverage is released annually in January each year. This data release is named 2020. Any operator data received up to the end of the year 2019 is included in this release. The data is made available in GeoTIFF 2-BIT raster format with pre-built pyramids using nearest-neighbour resampling - with a nominal resolution of approximately 260 metres on the ground at the equator. Operators are asked to submit strong (indoor) and variable (outdoor) signal strengths: 2G (GSM) Greater than / -92 dBm -92 to -100 dBm, 3G (UMTS) Greater than -92 dBm / -92 to -100 dBm, 4G (LTE) Greater than -105 dBm / -105 to -120 dBm. However, the data received from operators often does not include signal strength information or does not follow the above guidelines. Therefore, whilst the rasters retain the strong and variable distinctions, this inconsistency must be understood by the user.The cell values in the MCE rasters are as follows: 1 - strong signal strength 2 - variable signal strength.

Resource Link:

https://purl.stanford.edu/vh573hx5221

Identifier:

https://purl.stanford.edu/vh573hx5221

Language:

eng

Publisher:

Collins Bartholomew Ltd.

Provider:

Stanford

Resource Class:

Datasets

Resource Type:

Raster data

Subject:

Wireless communication systems and Utilities and Communication

Theme:

Utilities

Temporal Coverage:

2020

Date Issued:

2020

Spatial Coverage:

Åland Islands

Rights:

These data are licensed by Stanford Libraries and are available to Stanford University affiliates only. Affiliates are limited to current faculty, staff and students. Non affiliates seeking access should contact the publisher directly. These data may not be reproduced or used for any purpose without permission.

Rights Holder:

Copyright ownership resides with the originator.

Access Rights:

Restricted

Format:

GeoTIFF

Georeferenced:

false