Town of Palmer, MA GIS Viewer

This AIDA document is related to rezone petition: 18-07

Rezone petition document for petition ID: 17-09

This NOPC document is related to rezone petition: 18-17

Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193

Rezone petition document for petition ID: 19-06

Rezone petition document for petition ID: 15-23

This geospatial dataset was created by uploading a shapefile through the new import experience (DSMUI). The original shapefile is attached and was downloaded from https://data-seattlecitygis.opendata.arcgis.com/datasets/municipal-boundaries.

Alaska Railroad centerline data compiled from a GPS survey by Mullikin Surveys in 2005. Data was delivered to MSB GIS by ARR as a series of AutoCAD dwg files that were merged into a single GDB format and then published as shapefile. MSB GIS added a couple of older abandoned centerlines in the Palmer area that are sometimes needed for maps.

Points representing the three cities (Houston, Palmer, and Wasilla) and other unincorporated communities located within the Mat-Su Borough. Several cities and communities outside the Mat-Su Borough are also included. Points were placed in a downtown area or most significant community gathering area.

Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'.Abstract:This paper uses site suitability analysis to identify locations for solar farms in the UK to help meet climate change targets. A set of maps, each representing a given suitability criterion, is created with geographical information systems (GIS) software. These are combined to give a Boolean map of areas which are appropriate for large-scale solar farm installation. Several scenarios are investigated by varying the criteria, which include geographical (land use) factors, solar energy resource and electrical distribution network constraints. Some are dictated by the physical and technical requirements of large-scale solar construction, and some by government or distribution network operator (DNO) policy. It is found that any suitability map which does not heed planning permission and grid constraints will overstate potential solar farm area by up to 97%. This research finds sufficient suitable land to meet Future Energy Scenarios (UK National Grid outlines for the coming energy landscape).

Data represents mostly smaller park and recreation areas in the Matanuska-Susitna Borough. Most are owned and managed by the MSB, the cities of Houston, Palmer, or Wasilla, volunteer organizations, or other community groups. The dataset also includes a few larger state owned areas that are not included in the state maintained parks and recreation datasets.

Corporate boundaries of the three cities located within the Mat-Su Borough (Houston, Palmer, and Wasilla).

Evaluating multiple signals of climate change across the conterminous United States during three 30-year periods (2010�2039, 2040�2069, 2070�2099) during this century to a baseline period (1980�2009) emphasizes potential changes for growing degree days (GDD), plant hardiness zones (PHZ), and heat zones. These indices were derived using the CCSM4 and GFDL CM3 models under the representative concentration pathways 4.5 and 8.5, respectively, and included in Matthews et al. (2018). Daily temperature was downscaled by Maurer et al. (https://doi.org/10.1029/2007EO470006) at a 1/8 degree grid scale and used to obtain growing degree days, plant hardiness zones, and heat zones. Each of these indices provides unique information about plant health related to changes in climatic conditions that influence establishment, growth, and survival. These data and the calculated changes are provided as 14 individual IMG files for each index to assist with management planning and decision making into the future. For each of the four indices the following are included: two baseline files (1980�2009), three files representing 30-year periods for the scenario CCSM4 under RCP 4.5 along with three files of changes, and three files representing 30-year periods for the scenario GFDL CM3 under RCP 8.5 along with three files of changes.Heat zones map the distribution of potential heat stress for plants and animals, including humans. We define heat zones as the number of days with maximum daily temperature >30 �C (86 �F). Because species have unique adaptations and abilities to tolerate a wide variety of conditions, this metric is used merely as an indicator of change in �hot� conditions. The 30 �C value is set primarily for agricultural production and is a general temperature threshold at which photosynthesis can be negatively impacted for C3 plants (e.g., most species including trees), but it certainly also captures temperatures that induce stress in humans as well. In addition, increases in temperature above these thresholds for longer periods, especially when accompanied with prolonged dry conditions, are linked to reduced performance and likely mortality of trees. Each day surpassing the 30 �C threshold was tallied and summed for each year and reported as the mean number of days, per year, over each 30-year period: baseline, early, mid, and late century.�Original data and associated metadata can be downloaded from this website:�https://www.fs.usda.gov/rds/archive/Product/RDS-2019-0001This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

Description The geometry and attributes, including descriptions and the status of 8 economic corridors in the Belt and Road Initiative (BRI) up until August 2021. Depiction of the economic corridors is based on the transportation networks, including expressways and railways with their status (e.g., existing or new projects backed by Chinese enterprises) annotated in the Shapefile.The list of economic corridors is listed below. Corridors 1-6 have been officially recognized by the Chinese government. Moreover, this dataset visualizes the economic corridors connecting China, Vietnam, and Africa, subsumed under corridors 7-8.

China-Pakistan-Economic Corridor (CPEC) China-Mongolia-Russia Economic Corridor (CMREC) New Eurasian Land Bridge (NELBEC) China-Central Asia-West Asia Economic Corridor (CCW) Bangladesh-China-India-Myanmar Economic Corridor (BCIM) China-Indochina Peninsula Economic Corridor (CICPEC) China Vietnam Economic Corridor (CVEC) The China-Africa Economic Corridor (CAEC)

For a combined visualization of the economic corridors, see: 9. Combined. An interactive view of this dataset: Link Source Data were collected from multiple public sources. Locations of new expressways and railways were digitized based on images in reference.zip. The existing transportation networks, including expressways and railways, are sourced from Natural Earth, Road version 5.0.0 (Published on 7 December 2021) and Natural Earth, Railroad version 4.0.0 (Published on 15 October 2017). The polygons and boundaries of regions are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193

This NOPC document is related to rezone petition: 15-22 (withdrawn), 15-23, CPA-2015-C, Palmer Ranch Increment IV NOPC

This AIDA document is related to rezone petition: 17-09

Rezone petition document for petition ID: 18-07