data Data Descriptor Geo-Questionnaire for Environmental Planning: The Case of Ecosystem Services Delivered by Trees in Poland Patrycja Przewo ´ zna 1,2 , Adam Inglot 3, * , Marcin Mielewczyk 2 , Krzysztof M ˛ aczka 2 and Piotr Matczak 2 and Piotr W˛ e˙ zyk 4   Citation: Przewo´ zna, P.; Inglot, A.; Mielewczyk, M.; M ˛ aczka, K.; Matczak, P.; W˛ e˙ zyk, P. Geo-Questionnaire for Environmental Planning: The Case of Ecosystem Services Delivered by Trees in Poland. Data 2021, 6, 128. https://doi.org/ 10.3390/data6120128 Academic Editor: Jamal Jokar Arsanjani Received: 4 November 2021 Accepted: 28 November 2021 Published: 1 December 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil- iations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). 1 Department of Geoinformation, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, ul. Wieniawskiego 1, 61-712 Poznan, Poland; pwysocka@amu.edu.pl 2 Department for the Study of Social Dynamics, Faculty of Sociology, Adam Mickiewicz University, ul. Wieniawskiego 1, 61-712 Poznan, Poland; marmie@st.amu.edu.pl (M.M.); krzysztof.maczka@amu.edu.pl (K.M.); matczak@amu.edu.pl (P.M.) 3 Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, ul. Narutowicza 11/12, 80-233 Gdansk, Poland 4 Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Kraków, Poland; p.wezyk@ur.krakow.pl * Correspondence: adam.inglot@pg.edu.pl Abstract: Studies on society and the environment interface are often based on simple questionnaires that do not allow for an in-depth analysis. Research conducted with geo-questionnaires is an increasingly common method. However, even if data collected via a geo-questionnaire are available, the shared databases provide limited information due to personal data protection. In the article, we present open databases that overcome those limitations. They are the result of the iTre-es project concerning public opinion on the benefits provided by trees and shrubs in four different research areas. The databases provide information on the location of trees that are valuable to the residents, the distances from the respondents’ residence place, their attitude toward tree removal, socio-demographic variables, attachment to the place of life, and environmental attitudes. The presentation of all these aspects was possible thanks to the appropriate aggregation of the results. A method to anonymize the respondents is presented. We discuss the collected data and their possible areas of application. Dataset: The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study. DOI: 10.34808/apm8-re13; Attitudes to tree removal on private property in rural and urban Polish municipalities. DOI: 10.34808/ds29-zt75; Attitudes to tree removal on private properties in two Polish cities. DOI: 10.34808/6d3c-qy88. Dataset License: CC-BY Keywords: PPGIS; greenery management; environmental sociology 1. Summary In geoinformation, one of the most promising approaches developed since the 1990s is Public Participation Geographic Information Systems (PPGISs), which allow inhabitants to be included in the decision-making process using maps. Different approaches enable the practical implementation of this idea, including web-based methods such as geo- questionnaires [1]. This belongs to the Computer-Assisted Web Interviewing (CAWI) group of methods based on the softGIS methodology, which concentrates on collecting spatial information in a user-friendly way with interactive maps [2]. PPGISs provide a methodology for many applications related to the effective management of urban spaces [3], including environmental planning [4]. Data 2021, 6, 128. https://doi.org/10.3390/data6120128 https://www.mdpi.com/journal/data