作者通过全球生物多样性信息网络数据库GBIF获取红花分布点数据，利用ENMTools工具进行过滤筛选；从WorldClim（2.1）数据库获取19个生物气候变量和3个地形地貌数据，从世界土壤数据库获取9个土壤特征数据，作为环境变量输入MaxEnt模型进行最大熵建模，结合GIS模拟出当前气候条件下植物红花在新疆的潜在适生区，得到新疆红花土地适宜性评价数据集。该数据集内容包括：（1）新疆红花土地适宜性评价结果数据，空间分辨率为30″；（2）新疆红花空间分布点数据（引用数据）。数据集以.shp、.tif、.xlsx和.txt格式储存，由16个数据文件组成，数据量为231 KB（压缩为1个文件153 KB）。
", "ds_source": "WorldClim（2.1）数据和世界土壤数据库。
", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 157664, "ds_files_count": 1, "ds_format": ".shp、.tif、.xlsx和.txt格式", "ds_space_res": "无", "ds_time_res": "无", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "4b841fd8-a30b-42ec-9d5b-311d7be00c04.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 1, "publish_time": "2025-07-04 20:18:02", "first_publish_time": null, "last_updated": "2025-07-04 20:18:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "license": null, "extra": null, "files_shape": [ { "name": "Carthamus_tinctorius_L._XJSuitable.rar", "size": 157664, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Xinjiang safflower land suitability evaluation dataset", "ds_abstract": "The author obtained safflower distribution point data through the global biodiversity information network database GBIF, and used ENMTools tool to filter and screen; 19 bioclimatic variables and 3 topography data were obtained from the WorldClim (2.1) database, and 9 soil characteristic data were obtained from the World Soil Database. As environmental variables, they were input into the MaxEnt model for maximum entropy modeling. Combined with GIS, the potential suitable areas of the plant safflower in Xinjiang under current climatic conditions were simulated, and the Xinjiang safflower land suitability evaluation dataset was obtained. The data set includes: (1) Xinjiang safflower land suitability evaluation result data, with a spatial resolution of 30 \";(2) Xinjiang safflower spatial distribution point data (cited data). The data set is stored in.shp,.tif,.xlsx, and.txt formats and consists of 16 data files with a data volume of 231 KB (compressed into 1 file 153 KB).
", "ds_source": "WorldClim (2.1) data and the World Soil Database.
", "ds_process_way": "", "ds_quality": "", "ds_format": ".shp,.tif,.xlsx and.txt formats", "ds_projection": "WGS84", "ds_space_res": "no", "ds_time_res": "no" } }, "license_type": null, "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土地适宜性", "空间分布", "红花", "评价" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ "张萍", "俞祥祥", "常存", "范敬龙", "张恒" ], "ds_meta_authors": [ "张萍" ], "ds_managers": [ "李锦" ], "category": "土地利用/土地覆被" }